All-provider course timetable

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• Don’t know where to begin with a Literature search?
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• Want to learn what extra support the UL can offer?

Book a buddy!

Email disability@cam.ac.uk to arrange a session. Tell us what you need help with and we’ll match you with a member of library staff who can show you what you need to know, whether it’s searching the catalogue, using Electronic Legal Deposit, finding open shelf books or something else entirely. You are welcome to attend by yourself or alongside the student that you assist.

PLEASE NOTE that until further notice, due to the evolving situation with Coronavirus no courses will be offered as classroom based at the Training Facility. The Bioinformatics Team are investigating a workable solution to offer some of the courses on a remote basis and will be in contact with updates as soon as possible.

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.

Fire Warden training (0900-1030) will give clear instruction of the roles of designated fire wardens and assist fire safety managers to comply with current fire safety legislation. Use of Fire Extinguisher training (1045-1145) provides hands on experience in the correct use of portable fire extinguishers.

Fire Warden training (0900-1030) will give clear instruction of the roles of designated fire wardens and assist fire safety managers to comply with current fire safety legislation. Use of Fire Extinguisher training (1045-1145) provides hands on experience in the correct use of portable fire extinguishers.

Fiji/ImageJ is a popular open-source image analysis software application. This course will briefly cover introductory aspects of image processing and analysis theory, but will focus on practical sessions where participants will gain hands on experience with Fiji.

This course is run by the CRUK CI Light microscopy core facility.

Please note that if you are not eligible for a University of Cambridge Raven account you will need to Book or register Interest by linking here.

The course will outlay bioinformatic analysis of cell populations from single-cell RNA including visualisation, clustering and functional analysis of genes. This will be using the programming language R and packages such as Seurat. Participants are encouraged to bring their own laptop to follow along.

Lesson 1

• 4.00 - 4.45pm = Setting up
• 4.45 - 5.00pm = Break, questions
• 5.00 - 6.00pm = Introduction to scRNA-Seq

Lesson 2

• 1.00 - 1.45pm = QC, Normalising, Feature Selection
• 1.45 - 2.00pm = Break, questions
• 2.00 - 3.00pm = Scaling, Dimensionality reduction, Determining dimensionality of dataset

Lesson 3

• 1.00 - 1.45pm = Clustering, UMAP/t-SNE
• 1.45 - 2.00pm = Break, questions
• 2.00 - 3.00pm = Cluster biomarkers, Assigning cell type identity, Differential expression, Enrichment

Lesson 4

• 1.00 - 1.45pm = Work on dataset from Stanford/literature/own dataset
• 1.45 - 2.00pm = Break, questions
• 2.00 - 3.00pm = Work on dataset from Stanford/literature/own dataset

This laptop only course is intended to provide a strong foundation in practical statistics and data analysis using the R or Python software environments. 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 biological sciences.

There are three core goals for this course:

1. Use R or Python confidently for statistics and data analysis
2. Be able to analyse datasets using standard statistical techniques
3. Know which tests are and are not appropriate

Both R and Python are free software environments that are suitable for statistical and data analysis.

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.

The University of Cambridge is committed to effective induction for all new members of staff. In addition to the welcome and induction you will receive in your institution, you are warmly invited to take part in the University’s two-stage induction.

The first stage comprises the University’s Induction Online programme. This web resource is a quick and easy way for you to learn all about what it is like to work here as well as understand your role and responsibilities. It provides key information to help you:

• settle into your new role quickly
• orientate yourself in your first few weeks at the University
• integrate into the University
• understand how the University works

The second stage is a Welcome to New Staff presentation event, hosted by Personal and Professional Development (PPD). The Welcome event aims to provide a broad introduction to all University staff, providing information about the University to enable you to get the most out of your time here. It is also an opportunity for you to network with other new members of staff.

The half-day event comprises:

• A welcome and introduction to the University from a senior member of the University
• A presentation on the benefits of being part of the University of Cambridge
• A presentation by a senior academic providing an insight into the role of the Colleges and their relationship with the University
• An exhibition of professional services sections, departments, support and welfare services that are available to you as a member of University staff (exhibitors list).

This course covers viewing, processing and recording data for applications, adding notes and attachments, generating rejection emails, generating electronic reference requests, processing applicants through the selection process and transferring successful applicants to CHRIS.

Departmental health and safety induction for graduate students, undergraduate students (Part IB, II, or III) MASt students, visitors and staff starting study or work at the Department of Physics.

Session 1 of this briefing is for everyone and covers what to do in the event of an emergency, and how to report problems.

There will be a short break before Session 2, which is for people carrying out practical experiments in a laboratory, doing other practical (e.g. maintenance) work, managing events or other people.

When there are new staff at an induction, this will be preceded by a short HR induction.

Anyone only working in an office is not required to attend Session 2, unless they manage people or events.

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.

Departmental health and safety induction for graduate students, undergraduate students (Part IB, II, or III) MASt students, visitors and staff starting study or work at the Department of Physics.

Session 1 of this briefing is for everyone and covers what to do in the event of an emergency, and how to report problems.

There will be a short break before Session 2, which is for people carrying out practical experiments in a laboratory, doing other practical (e.g. maintenance) work, managing events or other people.

When there are new staff at an induction, this will be preceded by a short HR induction.

Anyone only working in an office is not required to attend Session 2, unless they manage people or events.

Meet UIS' User Experience and Business Analyst team members. Find out what they do and how they can help you

Unconscious Bias refers to the biases we hold that are not in our conscious control. Research shows that these biases can adversely affect key decisions in the workplace. The session will enable you to work towards reducing the effects of unconscious bias for yourself and within your organisation. Using examples that you will be able to relate to, we help you to explore the link between implicit bias and the impact on the organisation. The overall aim of the session is to provide participants with an understanding of the nature of Unconscious Bias and how it impacts on individual and group attitudes, behaviours and decision-making processes.

This programme is designed to support academic and research leaders and managers with the skills and insights they need to lead others effectively. Group leaders and PIs/senior researchers with responsibility for others are particularly encouraged to attend.

It will enable participants to reflect on their current leadership style and provide techniques they can use to effectively manage a diverse range of perspectives and create an inclusive culture across the University. Those with responsibility for others have a key role to play in shaping a positive working environment, supporting progression and ensuring equality, including pay equality. Given the University's strategic priorities, it is critical that leaders and managers understand the impact of their decisions throughout the employment timeline and know how to reduce the risk of sex, race or other discrimination, whether explicit or implicit.

The programme is delivered in partnership with Pearn Kandola, experts in evidence-based inclusive leadership development.

Why this course might make a difference:

This course is designed to enable participants to finish their PhD successfully and move on to the next stage of their careers. By the end of this course you will know:

• what you need to do to submit
• how to be a (better) leader
• how to prepare for your Viva
• how to plan for life after the PhD

Topics covered:

• PhD submission process
• Leadership: Skills and qualities of leaders
• Viva: What to expect and how to prepare
• Careers: How to do decide what to do, different career options

This induction is required for anyone planning to work unsupervised at the Maxwell Centre, Department of Physics.

It has two parts:

• Part 1 is for people working anywhere in the building
• Part 2 is only for those working at the Maxwell laboratories

A microbiological safety cabinet (MSC) is a vital piece of equipment that helps to prevent exposure to biological hazards. All containment laboratory users and their supervisors should know how to use MSCs effectively, what the standards are for the different levels of containment, and how the facilities are managed. This course will help both users and managers understand their responsibilities in creating a safe working area and provide both theory and practical knowledge on the safe and effective use of tissue culture (Class II) cabinets.

This session is primarily for those based on the Addenbrooke's Site, although others working at CL2/3 are encouraged to attend.

The Cambridge Admissions Office HEAT Team will organise termly HEAT User Group Meetings. The aim of these meetings is to inform users of HEAT updates and raise any common issues to the group. There will also be time for any questions and/or feedback.

These meetings are primarily aimed at Operational Leads, however if these representatives are unable to attend the proposed dates, other HEAT users are more than welcome to come along. We hope to see as many of you attend these meetings as possible in order to make them as beneficial as we can.