All-provider course timetable

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.

Coaching is an essential tool for managers and other professionals to use to help individuals to unlock their full potential and enhance their performance. You will be introduced to the technique of coaching and focus on the development of a range of skills that may be used to coach others effectively. This course is highly participative and will include the opportunity to practice your coaching skills.

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.

• Our courses are only free for registered University of Cambridge students. All other participants will be charged according to our charging policy.
• Attendance will be taken on all courses and a charge is applied for non-attendance. After you have booked a place, if you are unable to attend any of the live sessions, please email the Bioinfo Team.
• Further details regarding eligibility criteria are available here.

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.

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.

• See Related Courses for related events

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.

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

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.

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.

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.

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:

• gain a high-level understanding of continuous improvement tools and techniques, and how you can apply them
• develop skills to identify and remove waste in your day-to-day activities to become more effective and efficient.

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 practical programme is only for those who are scheduled to begin supervising in the next few months; it is not for those who - at this point - have a general interest in learning more about supervisions but have not arranged to start supervising.

This workshop is the second component of a three-part programme, which is designed to be completed in the following order:

1. A self-paced online module containing information on the Cambridge supervision system and introducing the principles and practices of effective teaching and learning, which must be completed before attending this workshop.

2. This in-person workshop that incorporates personal reflection on teaching practice, design of learning activities, discussion of real teaching scenarios, a chance to discuss and ask questions and access to practical information about organising and carrying out your supervisions.

3. An optional follow-up session for those who wish to explore further after gaining some supervision experience.

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).

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.