All-provider course timetable
Tuesday 18 July 2023
| 09:00 |
A series of 30 minute drop-in sessions to talk with one of the Simplifying our Processes 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 Simplifying our Processes team. These are not workshops or taught sessions. The Simplifying our Processes 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. |
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The Session covers detailed background and case studies of Legionella Bacteria and how it can colonise in domestic water systems. Current legislation and guidance regarding responsibility in detail, 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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| 09:30 |
THIS COURSE IS NOT RETURNING IN ITS CURRENT FORM. PLEASE CHECK OUR WEBSITE FOR MORE INFORMATION. Machine learning gives computers the ability to learn without being explicitly programmed. It encompasses a broad range of approaches to data analysis with applicability across the biological sciences. Lectures will introduce commonly used algorithms and provide insight into their theoretical underpinnings. In the practicals students will apply these algorithms to real biological data-sets using the R language and environment. Please note that if you are not eligible for a University of Cambridge Raven account you will need to book or register your interest by linking here. |
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Need to present meetings or teach using Teams? Then join us in this friendly hand on session to learn how to get up and running. You will have the opportunity to practice managing a meeting or a webinar. You will:
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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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. Please note that if you are not eligible for a University of Cambridge Raven account you will need to book or register your interest by linking here. |
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| 10:00 |
Publishing a protocol -- stating in advance the search strategy, inclusion and exclusion criteria, data analysis and other evaluative techniques -- is a core requirement for conducting a systematic review. The process of writing this protocol will also mean you have written in advance a large chunk of what will need to go into the finished systematic review, saving you a huge amount of time. This session will cover the contents and types of information you will need to provide in your protocol, and will give attendees the opportunity to write a draft protocol, as well as highlighting helpful resources and further support. UPDATE: Please note that this session is taking place remotely, not in the Medical Library as previously advertised. Please do not go to the Medical Library training room. You will be contacted by the training team with information about how to join the session remotely. 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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"Communities of Practice are action and purpose driven groups, engaged in a process of co-creation, collaboration, shared peer-learning and innovation around shared goals, values, vision and interests." (Danielle Bultoc, UCL) CoPs bring colleagues together in order to:
Come along to this session to find out more about how CoPs are being established and embedded at Cambridge, and the ways in which they could help you and those who you manage. There will be the opportunity to share ideas and concerns you have about the CoPs initiative and learn more about this exciting new area of development in the University. |
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| 12:45 |
Join us for a communications session hosted by Ellie Wolmark, ICM Communications Manager. The session will cover an introduction and overview to all aspects of Communications including panel discussion and a chance to pose questions. Panels members joining Ellie will be:
Look forward to seeing you there! |
| 15:00 |
Tableau Drop In Sessions (via Teams)
Finished
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. |
| 16:00 |
A series of 30 minute drop-in sessions to talk with one of the Simplifying our Processes 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 Simplifying our Processes team. These are not workshops or taught sessions. The Simplifying our Processes 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 19 July 2023
| 09:30 |
THIS COURSE IS NOT RETURNING IN ITS CURRENT FORM. PLEASE CHECK OUR WEBSITE FOR MORE INFORMATION. Machine learning gives computers the ability to learn without being explicitly programmed. It encompasses a broad range of approaches to data analysis with applicability across the biological sciences. Lectures will introduce commonly used algorithms and provide insight into their theoretical underpinnings. In the practicals students will apply these algorithms to real biological data-sets using the R language and environment. Please note that if you are not eligible for a University of Cambridge Raven account you will need to book or register your interest by linking here. |
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This course covers processing applicants through the offer stages and transferring successful applicants information to the New Appointment team for them to create an employee in CHRIS. The system used is Web Recruitment.
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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This course is designed for Training Administrators of a new provider on the University Training Booking System (UTBS) and it will take them through theory and practicals on how to administer their training programme on the UTBS.
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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| 10:00 |
This course will concentrate on how to use the Cognos reporting tool to help manage departmental research grants. These reports can be divided into three main categories:
In this course we will not access the Grants module in CUFS. The course material will be split across 2 webinars on consecutive days |
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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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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. |
Thursday 20 July 2023
| 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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Chromatin immunoprecipitation followed by sequencing (ChIP-seq) is a method used to identify binding sites for transcription factors, histone modifications and other DNA-binding proteins across the genome. In this course, we will cover the fundamentals of ChIP-seq data analysis, from raw data to downstream applications. We will start with an introduction to ChIP-seq methods, including important considerations when designing your experiments. We will cover the bioinformatic steps in a standard ChIP-seq analysis workflow, covering raw data quality control, trimming/filtering, mapping, duplicate removal, post-mapping quality control, peak calling and peak annotation. We will discuss metrics used for quality assessment of the called peaks when multiple replicates are available, as well as the analysis of differential binding across sample groups. Throughout the course we will also cover tools and packages that can be used for visualising and exploring your results.
If you do not have a University of Cambridge Raven account please book or register your interest here. Additional information
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Physics Health & Safety: Ionising Radiation Briefing for Users of X-Ray Generators (in person)
Finished
A short briefing for anyone who wishes to use X-ray generators at Department of Physics, University of Cambridge. Required before attending hands-on training on specific X-ray equipment and part of registrations as "Ionising Radiation User" (for details see this page). |
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| 10:00 |
This course will concentrate on how to use the Cognos reporting tool to help manage departmental research grants. These reports can be divided into three main categories:
In this course we will not access the Grants module in CUFS. The course material will be split across 2 webinars on consecutive days |
| 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. |
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What do you value in life?
Finished
“Values are the beliefs that are important to us about the way we interact with each other, how we work together effectively towards common goals and the behaviours that we demonstrate and expect to see from our colleagues.” (Emma Rampton, Registrary) We are offering this ‘taster’ session to provide you with an introduction to thinking about your values. Following the introduction of the Professional Services Values of trust, respect, integrity and collaboration, we are offering this opportunity for you to consider how you can align these with your own personal values, and what this might mean in terms of how you live your life and go about your work. |
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| 12:00 |
A course designed to take you step-by-step through academic writing and publication, with tips and resources to make writing up as simple as possible. The course will demystify the peer-review process, and help you to improve the precision and clarity of your academic writing. UPDATE: Please note that this session is taking place remotely, not in the Medical Library as previously advertised. Please do not go to the Medical Library training room. You will be contacted by the training team with information about how to join the session remotely. 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. |
| 14:00 |
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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This session is an introduction to the HR Resourcing Team, discussing our areas of expertise and services we provide. Showcasing the recruitment and retention initiatives, we will look at what has been achieved in 2023 so far, and the plans moving forward based on your feedback and suggestions. We will discuss how to find recruitment-related support and best practice information, with the aim of you leaving more confident in this area. The team are keen to understand your current recruiting experiences and explore new ways in which we can support you through this challenging time of hiring. Further information regarding the Leaders and Managers Network. |