All-provider course timetable
Tuesday 14 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. |
General induction for users of the Physics of Medicine (PoM) building. This includes a guided tour of the facility. Participants will gain access to PoM only after successfully completing the Physics H&S Induction - see "Related Courses" below. |
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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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09:30 |
Coaching Skills for Managers
[Full]
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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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This short session will provide an understanding of the principles, tools and techniques involved in Process Analysis with a view to improving business process effectiveness and efficiency. Delegates will have the opportunity to practice using the techniques that they learn via exercises designed to be enjoyable and thought provoking. |
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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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10:00 |
The session is designed to provide essential guidance and case studies for students undertaking exam invigilation for in-college examinations. 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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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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Medicine: PubMed Q & A
[Places]
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 PubMed. 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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10:30 |
This is a 1 hour, 30-minute workshop, looking at an overview of Disability Awareness with Neurobox. Neurobox is a leading workplace adjustments provider in Cambridge, dedicated to fostering inclusive and accessible work environments for disabled and neurodivergent individuals. This session is to enable colleagues to become more aware of the needs of employees and colleagues with disabilities and long-term health conditions. What does disability mean? Disclosing a disability How might a disability affect a person’s work? Barriers that people with disabilities face What are and are not reasonable adjustments Legislation including The Disability Discrimination Act and The Equality Act |
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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11:00 |
The Finance Division values the professionalism and commitment of its members and therefore encourages all staff to develop their skills and knowledge. This short session will outline for you the Division’s policy on training and development, as well as highlighting resources from across the University that you can utilise. |
Fair attribution for technicians through either co-authorship or direct acknowledgement in research publications is a key component of the ‘visibility’ and ‘recognition’ areas of the Technician Commitment, of which the University of Cambridge was a founding signatory in 2017. However, there is currently no policy or standard practice for acknowledging the role of technicians, equipment and facilities in the University or the wider sector. Technicians experience a great disparity in their recognition and visibility in scholarly outputs. This interactive workshop will introduce you to the scholarly communications process as well as tools such as CRediT and ORCID, and facilitate conversation amongst peers. |
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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 in-lab induction and guided tour is for authorised users of the Semiconductor Physics Clean Room in the Mott |
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11:30 |
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. |
12:00 |
The Staff Wellbeing Team and ThinkLab invite you to "Your Voice, Your Wellbeing: Staff Wellbeing Consultation Event." This collaborative and interactive session focuses on shaping the future of staff wellbeing at Cambridge. Objectives
Agenda for the day
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. |
14:00 |
This short, interactive session will introduce the fundamental principles of Lean - a methodology which prioritises continuous improvement and respect for people. Lean is a philosophy and way of working which removes waste from activities and ensures that emphasis is given to tasks that provide added value. Originally developed by Toyota, it is now widely used across many sectors including the NHS and Higher Education. During this masterclass for postdocs, you will:
Please note: when you book this course, on the booking confirmation page, select Add to Calendar to start importing the appointment to your calendar. |
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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15:00 |
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. |
Medicine: EndNote Q & A
[Places]
An introductory session showcasing how to manage your references using EndNote desktop and EndNote online. Please note: this session may be recorded. By signing up for the session, you register your consent for recording to take place. Please email librarytraining@medschl.cam.ac.uk if you have any questions about this. |
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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. |
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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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
[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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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. |
HEAT - Entry level training (January)
Not bookable
This session offers introductory training on using HEAT (Higher Education Access Tracker). It is designed for new users and those who have not worked with HEAT in the past six months. Attendance is mandatory for outreach practitioners who require access to the live database. |
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Ind-E-Pay UAT testing session - Set up testing
Not bookable
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. |
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. |
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. |
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. |