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Anyone interested in finding out more about containers and learning how to run research software from containers. Basic experience with Unix or Linux is required.

Learn to appraise and refine your own writing. (formerly called Writing to meet your readers' expectations as well as Cohesion, Linking, and Flow in your Writing).

This practical workshop will introduce the specific skills and applications used in the analysis of RNA-Seq gene expression data.

Learn how to communicate your methods and results for qualitative studies as well as communicate to address questions of rigour.

Interactive workshop to give you skills to prepare and maintain an outstanding CV. (previously known as Preparing your CV).

This highly interactive online workshop will provide attendees with a friendly, gentle introduction to the theory behind linear regressions in R. Prior experience with R and the RStudio interface is required, as well as familiarity with the concepts of descriptive statistics and elementary statistical hypothesis testing.

Learn the basics of research design which is a key component of any research study.

This workshop explores planning and structuring research writing. (formerly called Planning to Write). Consider attending Refining Your Writing after attending this workshop.

This session provides an introduction to the secrets of great research presentations. Learn how to craft a message that targets your audience. (Formerly known as Introduction to Presentation Skills as well as Planning and Presenting Persuasive Research).

Learn about this common method. The session focusses on the considerations of creating a survey.

Learn how to manage your research and cope with information overload. [Formerly called Organising your research with concept maps and graphic organisers]

An introduction to R for non-programmers using gapminder data (Combines the former workshops Intro to R and Advanced R). Please do not sign up unless you are able to fully attend all four mornings.

This practical workshop will help participants to choose and use the appropriate standard statistical test for their data by introducing key concepts of inferential statistics in SPSS. Participants will learn how to compute and interpret hypothesis tests for popular statistical models such as correlation, contingency tables, chi-square test, t-test and ANOVA. Prior knowledge of SPSS is required.

Our mindset is the foundation for success in life and careers. Learn to develop a winning mindset and practice coaching which is an essential workplace skill.

This workshop will give you insights into what leadership means in the 21st century and the challenges of being a leader.  It will give you an opportunity to reflect on your own potential to lead and make a difference in the workplace.

The course will cover the principles of logistic regression and includes practical sessions getting hands-on experience of logistic regression in R. You will require prior expertise in R and a basic familiarity with statistical hypothesis testing and regression analysis to attend.

Learn innovative practices and challenges in teaching and learning.

Learn how generative AI tools can support your thinking and development as a researcher and academic writer.

This workshop uses practical and discussion-based training to guide researchers about identifying what constitutes sensitive data, the risks of working with sensitive data, and how to appropriately manage those risks. The workshop is particularly relevant for clinical, environmental, and ecological researchers, but is applicable to all fields of research.

This workshop aims to improve the academic writing skills of Higher Degree by Research students by integrating Generative AI tools like ChatGPT into the writing process, while maintaining academic integrity.

This workshop will provide you with strategies for finding out what jobs are out there, and how to decide the main characteristics being sought in those jobs.

This session provides best practice on how to build a pitch deck and how to deliver it compellingly.

Learn how to solve complex problems in a creative, user-centric and curious manner.

This software carpentry workshop introduces the building blocks of Python. Please do not sign up for the four half-days (morning) interactive workshop unless you are able to attend all four morning sessions in full.

This practical hands-on workshop will help participants to choose and use the appropriate statistical test for their data by introducing key concepts of inferential statistics in R. Prior knowledge of R is required.