Courses and workshops
Training for researchers at the TU Delft
The TU Delft organises training for researchers on data management, research software development, and open science. For an overview of available courses, please visit the TU Delft Library website.
The Carpentries teaches foundational coding and data science skills to researchers worldwide.
The Delft Institute for Computational Science and Engineering offers courses on supercomputing through the Delft High Performance Computing Center.
CodeRefinery teaches good practices for writing and maintaining research software, focussed on open source software. Their lessons cover version control, testing, continuous integration, documentation, and more.
REIT
The Research Engineering and Infrastructure Team offers support on software engineering, data science, and high-performance computing. They offer courses on Rust for Research, Python best practices, and Working with a cluster.
TU Delft MOOCs
The TU Delft offers a variety of Massive Open Online Courses.
Open Science
Automated Software Testing
AI, Data & Digitalization
Unix Tools
External training opportunities
The eScience Center offers regular workshops on good practices for research software development and on intermediate-level topics such as GPU programming, Deep Learning, and Image Processing. Check out the overview of the training materials.
SURF is the IT cooperative of Dutch education and research institutions and offers various workshops on using the supercomputers and storage solutions.
The Software Sustainability Institute in the UK provides training and resources to improve the quality of research software.
Taxila provides an overview of training, learning, and teaching materials for trainers and trainees in the Netherlands.
Community training opportunities
Are you learning R or looking for a friendly community to practice with? The R Café is a welcoming space for R users of all levels - from absolute beginners to experienced programmers.
4TU.ResearchData offers training resources and community engagement to research and research-support professionals working to make their research data FAIR.