All-provider course timetable
Thursday 9 January
| 08:00 |
Fire Safety Awareness training provided by the NHS for all embedded tenants. It is recommended that this training be refreshed every 2-3 years. Please note: Bookings will close one week before the event. |
| 09:00 |
AI Clinic Slot
Finished
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. |
| 09:30 |
This course is an introduction to the CHRIS system and will cover an overview of key elements of the system that you will interact whilst undertaking HR tasks. Prior to attending please check that you can log into the CHRIS system successfully.
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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Leadership Essentials
In progress
Participants are required to attend both full day sessions. |
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IN PERSON - Cognos Introduction
Finished
UPDATE - This is a classroom version of the General Ledger 2 Course held at Roger Needham Building in the Ely rooms - All delegates will need to bring a laptop and power cable & ID badge to access reception Please note - there is no parking available at Roger Needham. The Madingley Park and Ride is about a 15 minute walk and the Universal Bus stops on Madingley Road. Cognos is a reporting tool that utilises data from CUFS to provide users with additional reports and options. This introductory course is designed for new reporters - covering everything from running a report successfully as well as a number of useful tips and shortcuts. Note: This course is mandatory in order to attend either of the following two courses below. What this introductory course does not do is go through in detail the outputs of each individual report. Report outputs are explained in further detail in the courses above. Cannot make any dates? See the on-demand online version of the course. Completion of this course will count as Cognos attendance for the purpose of acceptance onto the above courses. You should ask your Key Contact to request Cognos access for you, prior to working through the on-demand material. |
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R is one of the leading programming languages in Data Science. It is widely used to perform statistics, machine learning, visualisations and data analyses. It is an open source programming language so all the software we will use in the course is free. This course is an introduction to R designed for participants with no programming experience. We will start from scratch by introducing how to start programming in R and progress our way and learn how to read and write to files, manipulate data and visualise it by creating different plots - all the fundamental tasks you need to get you started analysing your data. During the course we will be working with one of the most popular packages in R; tidyverse that will allow you to manipulate your data effectively and visualise it to a publication level standard.
If you do not have a University of Cambridge Raven account please book or register your interest here. Additional information
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AI Clinic Slot
Finished
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 |
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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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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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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AI Clinic Slot
Finished
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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| 10:30 |
AI Clinic Slot
Finished
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 |
AI Clinic Slot
Finished
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. |
| 11:30 |
AI Clinic Slot
Finished
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. |
| 14:00 |
Virtual Writing Retreats
Finished
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: 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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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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| 14:20 |
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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| 14:40 |
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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| 15:00 |
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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| 15:20 |
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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| 15:40 |
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. |