All-provider course timetable
Thursday 16 January
| 09:00 |
The Session covers detailed background and case studies of Legionella Bacteria and how it can colonise in domestic water systems. Overview of current legislation and guidance, monitoring and control measures, record keeping and escalation procedures. This Course includes an examination. Please contact Michelle Goldsworthy to book a place. |
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AI Clinic Slot
[Full]
Have you thought about using AI in your research but aren’t sure how to get started? Or are you already using AI and have run into challenges with implementation? Meet the Accelerate Programme's team of AI experts to find the support you need. The Accelerate Programme's AI clinic is designed to help with challenging software issues a scientist encounters in all phases of the research pipeline when utilising machine learning. This includes issues related to: data collection, implementing privacy and compliance controls, data pipelines, model implementation, hardware/GPU matters, deploying models on the cloud, and packaging & publishing models. We define a challenging software issue as one that is difficult to find online guidance/tutorials on, or basically one that you have attempted to resolve via multiple approaches but had no success in doing so. No matter your level of experience with AI, we invite you to book a session and talk to our team to see how we can support you to implement AI in your research. The clinic is open at any time for support so if you want to get in touch before your session or to book an earlier time, please email accelerate-mle@cst.cam.ac.uk. |
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| 09:15 |
Springboard: A Women's Development Programme
Not bookable
The programme gives you the time to reflect, share and most importantly, set achievable personal and professional goals for now and the future. Key areas covered include communication skills, assertiveness, self confidence, improving your work/life balance and developing positive skills and attitude. If you want to progress and develop, then this programme is for you. |
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A 30 minute appointment with a Language Adviser VIA MS TEAMS VIDEO CHAT to explore intensive language courses abroad for your specific requirements. We can offer pointers for evaluating the options available and share information gleaned from students' feedback on courses that they have attended. |
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| 09:30 |
Administrator Development Programme
Not bookable
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Core Statistics using R or Python (IN-PERSON)
In progress
This award winning course is intended to provide a strong foundation in practical statistics and data analysis using the R or Python software environment. The underlying philosophy of the course is to treat statistics as a practical skill rather than as a theoretical subject and as such the course focuses on methods for addressing real-life issues in the life sciences. There are three core goals for this course:
R and Python are open source programming languages so all of the software we will use in the course is free. In this course, we explore classical statistical analysis techniques starting with simple hypothesis testing and building up to linear models and power analyses. The focus of the course is on practical implementation of these techniques and developing robust statistical analysis skills rather than on the underlying statistical theory. After the course you should feel confident to be able to select and implement common statistical techniques using R or Python and moreover know when, and when not, to apply these techniques.
If you do not have a University of Cambridge Raven account please book or register your interest here. Additional information
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The I-Act course for managers is aimed at supporting managers to improve workplace wellbeing and helping them to support employees who may experience a mental health or wellbeing issue. The training maintains a focus on common mental health issues, such as anxiety and depression, and addresses how we might improve wellbeing in order to build resilience. The course gives practical guidance and tools for how we might improve our own mental health and wellbeing and support others who may have a mental health or wellbeing issue. It informs participants as to what they need to know and offers tools for addressing and improving mental health and wellbeing in the workplace. This training highlights what managers need to know about managing mental health in the workplace (for example, regarding legislation and The Health and Safety Executive). The course comes with free access to on-line i-act resources. The i-Act course is accredited by The Royal College of Psychiatrists. Training Objectives:
Please Note: Once you have booked on the course, click on Add to Calendar to start the process to import the course appointment into your calendar. This contains the link to the MS Teams course meeting under Joining Instructions that you will use to join on the day of the course. If you require a physical manual instead of a digital one as part of a reasonable adjustment please add this as a note in the 'special requests' box upon booking. Please note that we can only accommodate this request up to 2 weeks before the course. Any bookings made after this might delay a physical manual being made available to you on the date of your training. These are stand-alone training sessions and participants should only attend one session. |
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This course enables users to learn the basics of how the General Ledger module works, how to run online account enquiries and how to process journals. It is run as two webinars with some pre-course reading Webinar 1: For everyone Webinar 2: Optional, if you are not going to be using journals it is not compulsory but may be of interest If none of the dates are suitable then there are two on-demand packages which can be completed instead. Chart of Accounts and Account Enquiry https://www.training.cam.ac.uk/fin/event/4716069 |
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Have you heard of myHR but are not really sure what it’s about? Join this short session, suitable for employees across all staff groups and areas of the University, to find out about the HR Transformation Programme, the reasons for change and the benefits that myHR, our new HR and Payroll system, will bring for us all. After an introduction to the programme, a short demo will show you around myHR from the point of view of an employee and as a manager of others. Feedback includes “It all looked very intuitive and easy to use” and “I've worked in six different parts of the Uni and every single one had a different system for recording annual leave… I’m looking forward to one place to log in and see my leave and my teams leave”. You can also visit HR Transformation Programme to read more about the programme, including some Frequently Asked Questions and see HRTP Yammer/Viva Engage for latest news and updates. Please Note: Once you have booked on the course, click on Add to Calendar to start the process to import the course appointment into your calendar, including the Teams link you will need on the day. |
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AI Clinic Slot
[Full]
Have you thought about using AI in your research but aren’t sure how to get started? Or are you already using AI and have run into challenges with implementation? Meet the Accelerate Programme's team of AI experts to find the support you need. The Accelerate Programme's AI clinic is designed to help with challenging software issues a scientist encounters in all phases of the research pipeline when utilising machine learning. This includes issues related to: data collection, implementing privacy and compliance controls, data pipelines, model implementation, hardware/GPU matters, deploying models on the cloud, and packaging & publishing models. We define a challenging software issue as one that is difficult to find online guidance/tutorials on, or basically one that you have attempted to resolve via multiple approaches but had no success in doing so. No matter your level of experience with AI, we invite you to book a session and talk to our team to see how we can support you to implement AI in your research. The clinic is open at any time for support so if you want to get in touch before your session or to book an earlier time, please email accelerate-mle@cst.cam.ac.uk. |
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This training is intended for staff and post graduate students who regularly use DSE to help prevent or reduce the risk of possible health problems arising from computer use. The training is also aimed at those responsible within departments for assisting with the DSE risk assessment process. The course will provide an understanding of the DSE Regulations 1992 (as amended 2002) and discuss employer's and employee's duties regarding the assessment of DSE workstations. There will be theory and a practical demonstration. The training will allow time to discuss some of the common health problems and concerns that may be associated with poor workstation set-up with examples of possible solutions. |
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| 09:35 |
Virtual Writing Retreats
[Places]
Do you have a deadline coming up or a piece of writing that’s long overdue? Or maybe some data analysis that keeps slipping to the bottom of your to-do list? Our online retreats give you time, peace, and space to think and write. Each session will provide a friendly and constructive environment in which to meet like-minded peers, discuss challenges, and work in a focused way using the Pomodoro technique. These virtual retreats are being hosted collaboratively across several institutions to encourage researchers across career stages and institutions to come together in a sustainable writing environment. The retreats will take place several times per month throughout the academic year and you can attend as many as you like (within booking limits for each session). Please note: It is important that when you book this course, on the booking confirmation page, click on Add to Calendar to start the process of importing the course appointment to your calendar. |
| 10:00 |
AI Clinic Slot
[Full]
Have you thought about using AI in your research but aren’t sure how to get started? Or are you already using AI and have run into challenges with implementation? Meet the Accelerate Programme's team of AI experts to find the support you need. The Accelerate Programme's AI clinic is designed to help with challenging software issues a scientist encounters in all phases of the research pipeline when utilising machine learning. This includes issues related to: data collection, implementing privacy and compliance controls, data pipelines, model implementation, hardware/GPU matters, deploying models on the cloud, and packaging & publishing models. We define a challenging software issue as one that is difficult to find online guidance/tutorials on, or basically one that you have attempted to resolve via multiple approaches but had no success in doing so. No matter your level of experience with AI, we invite you to book a session and talk to our team to see how we can support you to implement AI in your research. The clinic is open at any time for support so if you want to get in touch before your session or to book an earlier time, please email accelerate-mle@cst.cam.ac.uk. |
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This session is provided for students and staff who have a Disability Resource Centre referral for specialised one-to-one support. Bespoke sessions cover support for users with:
A session typically falls into 2 categories:
At time of booking please specify the following details in the Special Requirements box
Please Note: It is important that when you book on this course, on your booking confirmation page, click on Add to Calendar to start the process to import the course appointment into your calendar. This contains the link to the MS Teams course meeting under Joining Instructions that you will use to join on the day of the course.
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| 10:30 |
AI Clinic Slot
[Places]
Have you thought about using AI in your research but aren’t sure how to get started? Or are you already using AI and have run into challenges with implementation? Meet the Accelerate Programme's team of AI experts to find the support you need. The Accelerate Programme's AI clinic is designed to help with challenging software issues a scientist encounters in all phases of the research pipeline when utilising machine learning. This includes issues related to: data collection, implementing privacy and compliance controls, data pipelines, model implementation, hardware/GPU matters, deploying models on the cloud, and packaging & publishing models. We define a challenging software issue as one that is difficult to find online guidance/tutorials on, or basically one that you have attempted to resolve via multiple approaches but had no success in doing so. No matter your level of experience with AI, we invite you to book a session and talk to our team to see how we can support you to implement AI in your research. The clinic is open at any time for support so if you want to get in touch before your session or to book an earlier time, please email accelerate-mle@cst.cam.ac.uk. |
| 11:00 |
Introducing the Learn module in myHR
[Places]
The HR Transformation Programme will introduce myHR, the University’s new HR and payroll system in 2026 (see Introducing myHR). myHR will bring benefits for all employees, including Learn, a learning module that University employees can use to find and book training, plus lots of other functionality. Learn will be introduced as part of the second deployment of myHR (late 2026). This meeting is for those who deliver and adminster learning and development for employees in the University (across all training providers who are currently using UTBS or other systems). We will provide an overview of myHR, including the changes ahead for employees and training providers. Further engagement will follow during 2025, including the opportunity to join a community of other training providers. Antonia Adeymi is a Learning and Development Consultant in the HR L&D team and is the Subject Matter Expert supporting the introduction of Learn. Jessie Monck is the HRTP Engagement and Adoption Lead for myHR, working on secondment from the HR L&D team. For a general the introduction to myHR, please attend What is myHR and what does it mean for you. |
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AI Clinic Slot
[Full]
Have you thought about using AI in your research but aren’t sure how to get started? Or are you already using AI and have run into challenges with implementation? Meet the Accelerate Programme's team of AI experts to find the support you need. The Accelerate Programme's AI clinic is designed to help with challenging software issues a scientist encounters in all phases of the research pipeline when utilising machine learning. This includes issues related to: data collection, implementing privacy and compliance controls, data pipelines, model implementation, hardware/GPU matters, deploying models on the cloud, and packaging & publishing models. We define a challenging software issue as one that is difficult to find online guidance/tutorials on, or basically one that you have attempted to resolve via multiple approaches but had no success in doing so. No matter your level of experience with AI, we invite you to book a session and talk to our team to see how we can support you to implement AI in your research. The clinic is open at any time for support so if you want to get in touch before your session or to book an earlier time, please email accelerate-mle@cst.cam.ac.uk. |
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| 11:15 |
A 30 minute appointment with a Language Adviser VIA MS TEAMS VIDEO CHAT to explore intensive language courses abroad for your specific requirements. We can offer pointers for evaluating the options available and share information gleaned from students' feedback on courses that they have attended. |
| 11:30 |
AI Clinic Slot
[Full]
Have you thought about using AI in your research but aren’t sure how to get started? Or are you already using AI and have run into challenges with implementation? Meet the Accelerate Programme's team of AI experts to find the support you need. The Accelerate Programme's AI clinic is designed to help with challenging software issues a scientist encounters in all phases of the research pipeline when utilising machine learning. This includes issues related to: data collection, implementing privacy and compliance controls, data pipelines, model implementation, hardware/GPU matters, deploying models on the cloud, and packaging & publishing models. We define a challenging software issue as one that is difficult to find online guidance/tutorials on, or basically one that you have attempted to resolve via multiple approaches but had no success in doing so. No matter your level of experience with AI, we invite you to book a session and talk to our team to see how we can support you to implement AI in your research. The clinic is open at any time for support so if you want to get in touch before your session or to book an earlier time, please email accelerate-mle@cst.cam.ac.uk. |
| 12:00 |
This session is aimed at NHS and University of Cambridge staff or students who have already had prior training on database searching and want to learn more about the features of CINAHL and PsycINFO via the EBSCOhost interface. Those who want to attend an introductory session should book onto the Introduction to Literature Searching course, or the Getting the Best Results - Improving Your Database Searching if they are NHS staff. |
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AI Clinic Slot
[Full]
Have you thought about using AI in your research but aren’t sure how to get started? Or are you already using AI and have run into challenges with implementation? Meet the Accelerate Programme's team of AI experts to find the support you need. The Accelerate Programme's AI clinic is designed to help with challenging software issues a scientist encounters in all phases of the research pipeline when utilising machine learning. This includes issues related to: data collection, implementing privacy and compliance controls, data pipelines, model implementation, hardware/GPU matters, deploying models on the cloud, and packaging & publishing models. We define a challenging software issue as one that is difficult to find online guidance/tutorials on, or basically one that you have attempted to resolve via multiple approaches but had no success in doing so. No matter your level of experience with AI, we invite you to book a session and talk to our team to see how we can support you to implement AI in your research. The clinic is open at any time for support so if you want to get in touch before your session or to book an earlier time, please email accelerate-mle@cst.cam.ac.uk. |
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| 14:00 |
The session is designed to provide essential guidance and case studies for students undertaking exam invigilation for in-college exams. You will have an opportunity to talk to College Examination Administrators as well as experienced Invigilators. Please Note: It is important that when you book on this course, on your booking confirmation page, click on Add to Calendar to start the process to import the course appointment into your calendar.
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This session is aimed at NHS and University of Cambridge staff or students, who have already had prior training in database searching and want to learn more about the features of PsycINFO or ASSIA via the Proquest interface. Those who want an introductory session should book onto the Introduction to Literature Searching course, or the Getting the Best Results - Improving Your Database Searching if they are NHS staff. |
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| 14:30 |
This session is provided for students and staff who have a Disability Resource Centre referral for specialised one-to-one support. Bespoke sessions cover support for users with:
A session typically falls into 2 categories:
At time of booking please specify the following details in the Special Requirements box
Please Note: It is important that when you book on this course, on your booking confirmation page, click on Add to Calendar to start the process to import the course appointment into your calendar. This contains the link to the MS Teams course meeting under Joining Instructions that you will use to join on the day of the course.
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Friday 17 January
| 09:00 |
A series of 30 minute drop-in sessions to talk with one of the Continuous Improvement team. We offer expert, impartial advice relating all things process improvement and want to support our colleagues on their own continuous improvement journeys. Please note, these sessions are informal, 1-2-1 meetings where colleagues can ask for advice and guidance from the team. These are not workshops or taught sessions. The team will be available 9-10 and 4-5 every Tuesday and Friday - each hour can be split into two sessions of 30 minutes depending on demand. |
| 09:30 |
Core Statistics using R or Python (IN-PERSON)
In progress
This award winning course is intended to provide a strong foundation in practical statistics and data analysis using the R or Python software environment. The underlying philosophy of the course is to treat statistics as a practical skill rather than as a theoretical subject and as such the course focuses on methods for addressing real-life issues in the life sciences. There are three core goals for this course:
R and Python are open source programming languages so all of the software we will use in the course is free. In this course, we explore classical statistical analysis techniques starting with simple hypothesis testing and building up to linear models and power analyses. The focus of the course is on practical implementation of these techniques and developing robust statistical analysis skills rather than on the underlying statistical theory. After the course you should feel confident to be able to select and implement common statistical techniques using R or Python and moreover know when, and when not, to apply these techniques.
If you do not have a University of Cambridge Raven account please book or register your interest here. Additional information
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Practical Project Management
[Places]
This is an in-person, all day workshop delivered by Keith Crampton from Wiz Training. This will equip participants to be effective members of project teams, serve as a useful refresher for those who feel established in effectively managing a project, and provide a foundation for colleagues new to managing projects. The workshop uses a foundation of 9 key project management steps that can be scaled to suit any size of the project and includes example documentation (alternatively your own methodology can be integrated into the material) The session will be starting at 9:30 and finishing at 4:30. Light refreshments will be provided, please email staff-training@eng.cam.ac.uk if you have any dietary requirements or adjustments. |
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New Wellbeing Advocate Training
[Places]
This full day specialist bespoke training equips Wellbeing Advocates to be powerful champions for wellbeing. The training is designed to establish the roles and responsibilities of a Wellbeing Advocate and to support you with the knowledge, skills, and experience to develop in your role. Training Outcomes:
Please Note: Once you have booked on the course, click on Add to Calendar to start the process to import the course appointment into your calendar. Please note these are stand-alone training sessions and participants should only attend one session. |
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| 10:00 |
One-to-one drop-in sessions for Population Health Sciences MPhil students to answer any questions about literature searching, or using referencing software. Please come prepared, preferably having attempted your searches and/or use of referencing software, with a list of the specific problems you've encountered. This session will take place in the Medical Library training room, and the library will email you further instructions in advance. Please do not respond to automated reminder emails -- please instead email the library directly: librarytraining@medschl.cam.ac.uk. |
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One-to-one drop-in sessions for Population Health Sciences MPhil students to answer any questions about literature searching, or using referencing software. Please come prepared, preferably having attempted your searches and/or use of referencing software, with a list of the specific problems you've encountered. This session will take place online, and the library will email you a joining link in advance. Please do not respond to automated reminder emails -- please instead email the library directly: librarytraining@medschl.cam.ac.uk. |
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| 10:20 |
One-to-one drop-in sessions for Population Health Sciences MPhil students to answer any questions about literature searching, or using referencing software. Please come prepared, preferably having attempted your searches and/or use of referencing software, with a list of the specific problems you've encountered. This session will take place in the Medical Library training room, and the library will email you further instructions in advance. Please do not respond to automated reminder emails -- please instead email the library directly: librarytraining@medschl.cam.ac.uk. |
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One-to-one drop-in sessions for Population Health Sciences MPhil students to answer any questions about literature searching, or using referencing software. Please come prepared, preferably having attempted your searches and/or use of referencing software, with a list of the specific problems you've encountered. This session will take place online, and the library will email you a joining link in advance. Please do not respond to automated reminder emails -- please instead email the library directly: librarytraining@medschl.cam.ac.uk. |
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| 10:30 |
JTC: Study Abroad Advice
[Places]
A 30 minute appointment with a Language Adviser to explore intensive language courses abroad for your specific requirements. We can offer pointers for evaluating the options available and share information gleaned from students' feedback on courses that they have attended. |
| 10:40 |
One-to-one drop-in sessions for Population Health Sciences MPhil students to answer any questions about literature searching, or using referencing software. Please come prepared, preferably having attempted your searches and/or use of referencing software, with a list of the specific problems you've encountered. This session will take place in the Medical Library training room, and the library will email you further instructions in advance. Please do not respond to automated reminder emails -- please instead email the library directly: librarytraining@medschl.cam.ac.uk. |
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One-to-one drop-in sessions for Population Health Sciences MPhil students to answer any questions about literature searching, or using referencing software. Please come prepared, preferably having attempted your searches and/or use of referencing software, with a list of the specific problems you've encountered. This session will take place online, and the library will email you a joining link in advance. Please do not respond to automated reminder emails -- please instead email the library directly: librarytraining@medschl.cam.ac.uk. |
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| 11:00 |
There are many benefits to working at Cambridge. In this session we will explore how to make the most of the discounts and resources you are entitled to and highlight the activities available to help you make the most of working here. |
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Tableau Drop In Sessions (via Teams)
[Places]
This is an opportunity for the members of the University to go one-on-one with Tableau experts across the Business Information and Strategic Insights Team, who can help you solve challenges. |
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JTC: Study Abroad Advice
[Places]
A 30 minute appointment with a Language Adviser to explore intensive language courses abroad for your specific requirements. We can offer pointers for evaluating the options available and share information gleaned from students' feedback on courses that they have attended. |
|
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One-to-one drop-in sessions for Population Health Sciences MPhil students to answer any questions about literature searching, or using referencing software. Please come prepared, preferably having attempted your searches and/or use of referencing software, with a list of the specific problems you've encountered. This session will take place in the Medical Library training room, and the library will email you further instructions in advance. Please do not respond to automated reminder emails -- please instead email the library directly: librarytraining@medschl.cam.ac.uk. |
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One-to-one drop-in sessions for Population Health Sciences MPhil students to answer any questions about literature searching, or using referencing software. Please come prepared, preferably having attempted your searches and/or use of referencing software, with a list of the specific problems you've encountered. This session will take place online, and the library will email you a joining link in advance. Please do not respond to automated reminder emails -- please instead email the library directly: librarytraining@medschl.cam.ac.uk. |
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| 11:20 |
One-to-one drop-in sessions for Population Health Sciences MPhil students to answer any questions about literature searching, or using referencing software. Please come prepared, preferably having attempted your searches and/or use of referencing software, with a list of the specific problems you've encountered. This session will take place in the Medical Library training room, and the library will email you further instructions in advance. Please do not respond to automated reminder emails -- please instead email the library directly: librarytraining@medschl.cam.ac.uk. |
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One-to-one drop-in sessions for Population Health Sciences MPhil students to answer any questions about literature searching, or using referencing software. Please come prepared, preferably having attempted your searches and/or use of referencing software, with a list of the specific problems you've encountered. This session will take place online, and the library will email you a joining link in advance. Please do not respond to automated reminder emails -- please instead email the library directly: librarytraining@medschl.cam.ac.uk. |
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| 11:30 |
Tableau Drop In Sessions (via Teams)
[Places]
This is an opportunity for the members of the University to go one-on-one with Tableau experts across the Business Information and Strategic Insights Team, who can help you solve challenges. |
| 11:40 |
One-to-one drop-in sessions for Population Health Sciences MPhil students to answer any questions about literature searching, or using referencing software. Please come prepared, preferably having attempted your searches and/or use of referencing software, with a list of the specific problems you've encountered. This session will take place in the Medical Library training room, and the library will email you further instructions in advance. Please do not respond to automated reminder emails -- please instead email the library directly: librarytraining@medschl.cam.ac.uk. |
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One-to-one drop-in sessions for Population Health Sciences MPhil students to answer any questions about literature searching, or using referencing software. Please come prepared, preferably having attempted your searches and/or use of referencing software, with a list of the specific problems you've encountered. This session will take place online, and the library will email you a joining link in advance. Please do not respond to automated reminder emails -- please instead email the library directly: librarytraining@medschl.cam.ac.uk. |
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| 14:00 |
This workshop is the second component of a three-part programme, which is designed to be completed in the following order:
Please note that everyone new to supervising undergraduates at Cambridge must complete this course: both the online module and the workshop (or equivalent face-to-face training provided by your Department or Faculty). |
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This is a classroom session to be held at Greenwich House - All delegates will need to bring a laptop (and charging cable if required) Please note - there is no parking available at Greenwich House. The Madingley Park and Ride is a 15-minute walk and the Universal Bus stops on Madingley Road. A testing session for the Ind-E-Pay UAT phase. This session will primarily be for the payment request part of the process. Testers should also have attended one of the set up testing sessions. |
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| 16:00 |
A series of 30 minute drop-in sessions to talk with one of the Continuous Improvement team. We offer expert, impartial advice relating all things process improvement and want to support our colleagues on their own continuous improvement journeys. Please note, these sessions are informal, 1-2-1 meetings where colleagues can ask for advice and guidance from the team. These are not workshops or taught sessions. The team will be available 9-10 and 4-5 every Tuesday and Friday - each hour can be split into two sessions of 30 minutes depending on demand. |