All-provider course timetable
Wednesday 15 January
| 09:30 |
This course is for those who are new to the Recruitment Administration System (RAS) or those who wish to have a refresher.
Please note that the course is taught using Microsoft Teams and you must have Teams installed on your computer to participate. See System requirements below for more information 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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The Unix shell (command line) is a powerful and essential tool for modern researchers, in particular those working in computational disciplines such as bioinformatics and large-scale data analysis. In this course we will explore the basic structure of the Unix operating system and how we can interact with it using a basic set of commands. You will learn how to navigate the filesystem, manipulate text-based data and combine multiple commands to quickly extract information from large data files. You will also learn how to write scripts and use programmatic techniques to automate task repetition.
If you do not have a University of Cambridge Raven account please book or register your interest here. Additional information
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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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This course will enable the participants to practice existing spreadsheet skills and develop more advanced skills within the context of UFS data. There will be the opportunity to extract data from the system and learn to manipulate, analyse and use it for reporting purposes. The course runs over two sessions and participants will need to attend both of these sessions. |
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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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No previous qualifications are required to take part in this programme. For some this programme will act as a feeder programme for the existing Administrator Development Programme. |
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Introducing the Learn module in myHR
Finished
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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| 10:00 |
How to make a group booking with Key Travel - Organising group travel for research or to undertake work on behalf of the University. This training session, delivered by Key Travel, is open to new and experienced colleagues who are responsible for booking group travel (10 passengers or more) on behalf of the University. Key Travel’s Specialist Travel team will take you through the process of group bookings including:
The primary purpose of the training session will be to walk you through the booking process, however, there will also be opportunities to ask questions and explore the services provided. |
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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 set up phase of the process, where possible testers should also attend one of the payment request testing sessions. |
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| 11:00 |
This session will be lead by Audrey Tang. Audrey is a Chartered Psychologist (CPsychol) and award-winning author with a focus on practical self improvement. Her recent book, "The Leader's Guide to Wellbeing" outlines different techniques leaders can use to get positive affect. Her practical and easily applicable tools for real results are often the standout feature, along with her motivational training style and unique approach to workshops using interactive training methods. Key takeaways: Identifying the “Leader as Coach” framework as a successful method to implement change Recognise the issues that the leader may face when implementing transformational change, and how to address them Define what a “wellbeing culture” looks like to the Leader – and in turn the team. Raising awareness of the resources already available (as well as recognising their effectiveness for individual team needs). Finding ways to implement team interventions. Identifying what is and isn’t “wellbeing”, and recognising the different pathways of support available. |
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Failure - we all experience it in our lives and feel the impact in different ways. Sometimes we're able to embrace failure, learn from it and try again, but this isn't easy. In this honest, yet light-hearted session we will:
This will also be a safe space for any attendees to share their own experiences and advice. Join this session to understand and explore the real power of failure. Please note: when you book this course, on the booking confirmation page, select Add to Calendar to start importing the appointment to your calendar. |
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| 12:00 |
Administered by the Language Centre, the AJ Pressland Fund offers bursaries of up to £1,000 to support language study abroad for students within the Schools of Biological Science, Clinical Medicine, Physical Science and Technology. Those applying for a Trinity College Language Bursary are also welcome to attend. The aim of this optional workshop is to support with choosing a short language course abroad. We can offer pointers for evaluating the options available and share information gleaned from students' feedback on courses that they have attended. Students should be planning to study a language overseas for up to 4 weeks during the Long Vacation and funds awarded may be used to support course fees, accommodation and travel as required. |
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Yoga with Daisy Worzencraft is primarily about having fun, giving things a go, and trying - with a sense of humour and a smile on your face! It's a non competitive practice, with modifications for different levels. All she asks is that you try, and that you practice with a sense of pleasure and enjoyment, rather than expectation, frustration and tension. For Daisy, Yoga has been a consistent friend in her life - especially in times of need - and had nothing to do with perfecting poses! 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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| 14:00 |
Anyone who is a first-time user of unsealed radioactive substances is expected to attend this acquaintanceship course before they begin the work. Users of radioactive substances who are new to the University should also attend. This course also acts as a refresher for experienced users and for users from other institutions or countries. There will be time for discussion and questions at the end of the session. You will be required to complete a short quiz after the course to confirm your understanding of core aspects of radiation safety. Please follow this link https://sms.cam.ac.uk/media/3226606 to a 20 minute video 'Working with radioactivity safely' which you will need to watch before attending the main course. You will need your Raven password to access this video. If any problems, please contact safety.training@admin.cam.ac.uk. |
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
[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. |
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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. |
| 13:00 |
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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| 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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