In this half-day introduction, you will have the opportunity to know a bit more about the structure of the HPC (tiers), what resources you have available, and most importantly, how to use and navigate the HPC.
Objectives
This course is designed for researchers and support staff who are new to version control and want to adopt best practices for managing code and collaborating on scientific projects. As research becomes increasingly computational, using free tools like Git and GitHub is essential for tracking changes, ensuring reproducibility, and working efficiently in teams. In this hands-on session, you will learn how to set up Git, manage your project history, and collaborate using GitHub.
Objectives
Join us to brainstorm the challenges and solutions of data analysis reproducibility.
You will have the chance to brainstorm, discuss, and use your creativity to solve real-life projects with a group of people. No matter your background or level of expertise, this is a great opportunity to improve critical thinking, problem-solving, and to exchange with experts.
Objectives
Effective research data management (RDM) is more than just a compliance requirement - it's a practical tool that simplifies your workflow, strengthens your research, and enhances the impact of your publications. This training is designed to help researchers embed RDM practices into their projects from the very beginning, always keeping the publication process in focus.
Objectives
Generative AI is rapidly transforming how we work, communicate, and conduct research. For researchers, support staff, and professionals across disciplines, understanding how to strategically use tools like ChatGPT and other large language models (LLMs) is becoming essential.
This introductory training is designed to equip participants with a foundational understanding of generative AI, its practical applications, and its limitations.
Objectives
Generative AI is rapidly transforming how we work, communicate, and conduct research. For researchers, support staff, and professionals across disciplines, understanding how to strategically use tools like ChatGPT and other large language models (LLMs) is becoming essential.
This introductory training is designed to equip participants with a foundational understanding of generative AI, its practical applications, and its limitations.
Objectives
Learning to program is increasingly essential for researchers and support staff. This course introduces students to the Python programming language from the very basics. No prior programming experience is required.
Effective research data management (RDM) is more than just a compliance requirement - it's a practical tool that simplifies your workflow, strengthens your research, and enhances the impact of your publications. This training is designed to help researchers embed RDM practices into their projects from the very beginning, always keeping the publication process in focus.
Objectives
The breakthrough of AlphaFold2 delivered structural models for nearly all proteins lacking experimental structures, opening new avenues to interrogate both sequence and structure. However, these models capture static snapshots rather than the dynamic conformational ensembles that govern protein behaviour.
Objectives