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Showing courses 1-25 of 2361
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7 Characteristics of Resilient People: Bitesize Self-taught Booking not required

7 Characteristics of Resilient People: Bitesize

PPD bitesize resources are short and high impact; including videos, quick tips guides and interactive bitesize modules. Develop your skills and knowledge quickly, easily, when you need. They complement face to face events and more in-depth online modules.

8 Wastes Self-taught Booking not required

An introduction to the 8 Wastes (Lean methodology), and how to spot hidden waste in your own processes.

https://youtu.be/Jp5gIwr9xAU

SIPOC training Self-taught Booking not required

A short how-to guide to creating and using SIPOC analysis in process improvement

These e-learning modules are available via the InforMEA e-learning platform. Information and guidance on ABS and Nagoya Protocol webpage is available on the University website.

Introduction to Access and Benefit Sharing(ABS)
This course provides an introduction to access and benefit-sharing of genetic resource that originate from overseas.
Sign up on the InforeMEA platform. Further details about the syllabus information are available here.

Introductory Course to the Nagoya Protocol
This course provides an introduction to the major components of the Nagoya Protocol.
Please see the syllabus for further details and sign up on the InforeMEA platform.

If you wish, you can take a quiz at the end of the both courses to assess your learning progress. You are required to answer at least 80% of the assessment questions correctly in order to obtain a course certificate.

This course will provide a detailed critique of the methods and philosophy of the Null Hypothesis Significance Testing (NHST) approach to statistics which is currently dominant in social and biomedical science. We will briefly contrast NHST with alternatives, especially with Bayesian methods. We will use some computer code (Matlab and R) to demonstrate some issues. However, we will focus on the big picture rather on the implementation of specific procedures.

This course is run and the trainers provided by the Accessibility & Disability Resource Centre


This workshop will look at ways of working effectively with students with specific learning difficulties (SpLD) Increasing numbers of all disabled students including those with SpLD means that it is less feasible to rely only on individual adjustments for all students. Consequently, this workshop focusses on practical changes based on inclusive teaching practice which enable the students to achieve their potential and have a fulfilling Cambridge experience. This workshop focusses on reading and research, laboratories and fieldwork, maths strategies and essay strategies.

  • This workshop will be delivered via Teams and includes around 30 minutes of preparatory work which is self paced.
AI Clinic – The Accelerate Programme new Wed 13 Mar 2024   11:00 [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? Come and meet the Accelerate team to find the support you need.

The Accelerate Programme, based in the Department of Computer Science and Technology, are holding an in-person AI Clinic Session on Wednesday 13th March from 11am – 1pm in the Todd-Hamied room of the Chemistry Department. The clinic is open to support all staff and students with AI research. No matter your level of experience with AI, we invite you to come and talk to our team. We support projects at all stages - from ideation, grant writing and data gathering, through to software issues and publication. The clinic is running as a drop-in session, but we also have a form if you'd like to share details of your issue in advance. We look forward to meeting you there!

The fundamental-level course is intended for individuals who seek an overall understanding of the AWS Cloud, independent of specific technical roles. It provides a detailed overview of cloud concepts, AWS services, security, architecture, pricing, and support. This course also helps you prepare for the AWS Certified Cloud Practitioner exam.

This is a free course, register and sign in for the following dates:


19th July 2021
2nd August 2021
16th August 2021
2nd September 2021
13th September 2021

Amazon Web Services: AWS Immersion Day new Self-taught Booking not required

This free training day hosted by Amazon Web Services (AWS) is a hybrid event, with a choice of attending online using Chime in a web browser, or there are 28 places available to attend at Amazon's offices next to Cambridge railway station.

Please confirm your choice of venue by the end of Wednesday (tomorrow) with one final survey:

AWS Immersion Day: confirm your choice of venue

Amazon Web Services: AWS Machine Learning Basics new Self-taught Booking not required

Are you interested in machine learning, but not sure where to start? Join us for this session with an AWS expert and demystify the basics. Using real-world examples, you’ll learn about important concepts, terminology, and the phases of a machine learning pipeline. Learn how you can start unlocking new insights and value for your business using machine learning.

This is a free course, register and sign in for the following dates:

22nd July 2021
30th September 2021

Amazon Web Services: AWS Technical Essentials new Self-taught Booking not required

In this introductory course, you will learn about AWS products, services, and common solutions. You will learn the fundamentals of identifying AWS services so that you can make informed decisions about IT solutions based on your business requirements.

This is a free course, register and sign in for the following dates:

26th July 2021
9th August 2021
23rd August 2021
6th September 2021

Learn about AWS's strategy and best practices for performing large-scale migrations. Synthesized from AWS's experience of helping hundreds of enterprise customers move to the cloud, you will learn proven techniques that make migrations successful and tools that will accelerate your migration journey to the AWS Cloud.

This is a free course, register and sign in for the following dates:

30th July 2021
23rd September 2021

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.

3 other events...

Date Availability
Wed 6 Mar 2024 09:30 [Full]
Wed 10 Apr 2024 09:30 [Full]
Tue 7 May 2024 09:30 [Full]

This week-long course is aimed at people with little or no experience using statistical analyses in research. It introduces participants to core concepts in statistics and experimental design, aimed at ensuring that the resulting data is able to address the research question using appropriate statistical methods.

The interactive course gives participants a hands-on, applied foundation in statistical data analysis and experimental design. Group exercises and discussions are combined with short lectures that introduce key theoretical concepts. Computational methods are used throughout the course, using the R programming language. Formative assessment exercises allow participants to test their understanding throughout the course and encourage questions and critical thinking.

By the end of the course participants will be able to critically evaluate and design effective research questions, linking experimental design concepts to subsequent statistical analyses. It will allow participants to make informed decisions on which statistical tests are most appropriate to their research questions. The course will provide a solid grounding for further development of applied statistical competencies.

As a follow-up of this course, we run an extra optional session on 25 April. This is an applied, hands-on session where you can bring your own data and we provide direct support to your analysis. This is exclusively available to participants on this course.


If you do not have a University of Cambridge Raven account please book or register your interest here.

1 other event...

Date Availability
Thu 25 Apr 2024 09:30 [Places]
Analysis of bulk RNA-seq data (IN-PERSON) Fri 15 Mar 2024   09:30   [More dates...] [Full]

In this course you will acquire practical skills in RNA-seq data analysis. You will learn about quality control, alignment, and quantification of gene expression against a reference transcriptome. Additionally, you will learn to conduct downstream analysis in R, exploring techniques like PCA and clustering for exploratory analysis. The course also covers differential expression analysis using the DESeq2 R/Bioconductor package. Furthermore, the course covers how to generate visualisations like heatmaps and performing gene set testing to link differential genes with established biological functions or pathways.


If you do not have a University of Cambridge Raven account please book or register your interest here.

Additional information
  • ♿ The training room is located on the first floor and there is currently no wheelchair or level access.
  • 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, including for University of Cambridge students. 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.
  • Guidance on visiting Cambridge and finding accommodation is available here.

1 other event...

Date Availability
Fri 21 Jun 2024 09:30 Not bookable
Analysis of ChIP-seq Data with SeqMonk (IN-PERSON) new Fri 5 Jul 2024   09:30 [Places]

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 and cover the bioinformatic steps in processing ChIP-seq data. We will then introduce the use of the graphical program SeqMonk to explore and visualise your data. Finally, you will perform peak calling and perform differential enrichment analysis.


If you do not have a University of Cambridge Raven account please book or register your interest here.

Additional information
  • ♿ The training room is located on the first floor and there is currently no wheelchair or level access.
  • 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, including for University of Cambridge students. 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.
  • Guidance on visiting Cambridge and finding accommodation is available here.

This workshop focuses on expression proteomics, which aims to characterise the protein diversity and abundance in a particular system. You will learn about the bioinformatic analysis steps involved when working with these kind of data, in particular several dedicated proteomics Bioconductor packages, part of the R programming language. We will use real-world datasets obtained from label free quantitation (LFQ) as well as tandem mass tag (TMT) mass spectrometry. We cover the basic data structures used to store and manipulate protein abundance data, how to do quality control and filtering of the data, as well as several visualisations. Finally, we include statistical analysis of differential abundance across sample groups (e.g. control vs. treated) and further evaluation and biological interpretation of the results via gene ontology analysis. By the end of this workshop you should have the skills to make sense of expression proteomics data, from start to finish.


If you do not have a University of Cambridge Raven account please book or register your interest here.

Additional information
  • ♿ The training room is located on the first floor and there is currently no wheelchair or level access.
  • 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, including for University of Cambridge students. 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.
  • Guidance on visiting Cambridge and finding accommodation is available here.
Analysis of single cell RNA-seq data (IN-PERSON) Thu 16 May 2024   09:30 Not bookable

Recent technological advances have made it possible to obtain genome-wide transcriptome data from single cells using high-throughput sequencing (scRNA-seq). Even though scRNA-seq makes it possible to address problems that are intractable with bulk RNA-seq data, analysing scRNA-seq is also more challenging.

In this course we will be surveying the existing problems as well as the available computational and statistical frameworks available for the analysis of scRNA-seq.


If you do not have a University of Cambridge Raven account please book or register your interest here.

Additional information
  • ♿ The training room is located on the first floor and there is currently no wheelchair or level access.
  • 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, including for University of Cambridge students. 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.
  • Guidance on visiting Cambridge and finding accommodation is available here.

The Critical Reading course aims to improve students' ability to read critically and evaluate sources, as well as giving helpful tips about productive reading, note taking and providing a checklist of questions to help them with their reading going forward. It is suitable for all students but aimed mostly at undergraduates.

This training is intended for staff and post graduate students who regularly use DSE to help prevent or reduce the risk of possible health problems arising from computer use. The training is also aimed at those responsible within departments for assisting with the DSE risk assessment process. The course will provide an understanding of the DSE Regulations 1992 (as amended 2002) and discuss employer's and employee's duties regarding the assessment of DSE workstations. There will be theory and a practical demonstration. The training will allow time to discuss some of the common health problems and concerns that may be associated with poor workstation set-up with examples of possible solutions.


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).

Bookings for all workshops will close two days before the workshop to give you time to complete the online module ahead of the workshop.

2 other events...

Date Availability
Tue 11 Jun 2024 10:00 [Places]
Thu 13 Jun 2024 14:00 [Places]


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).

Bookings for all workshops will close two days before the workshop to give you time to complete the online module ahead of the workshop.

1 other event...

Date Availability
Wed 12 Jun 2024 14:00 [Places]

This course is designed to provide a basic introduction to how finances are managed at the University and is the ideal first course for anyone who will be working in an accounts area.

Not only does it provide an overview of how the University's Finance System (UFS) is structured but also which activities are performed centrally and which are done in departments. It introduces the concepts of the Financial Regulations and Finance Procedures as well as signposting where you can find more support, how to access UFS and what training may be appropriate for your role.

Annual Departmental Safety Officer Update Tue 19 Mar 2024   09:30 [Places]

An annual update for Departmental Safety Officers.

Anti-Bribery & Corruption Training Self-taught Booking not required

The University and all its staff have a responsibility to ensure that neither their conduct, nor the conduct of any person or organisation entering into any contract or arrangement with the University contravenes the Bribery Act 2010.

This online course guides you through the scope of the Bribery Act and Criminal Finances Act and highlights some of the situations that you should be aware of.

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