What will you learn in this training? In this training you will understand what is high-performance computing (HPC) learn basic details on clusters and supercomputers do practical exercises on the national supercomputer Snellius effectively apply the essential best practices on how to work effectively with large HPC systems For whom? Anyone who wants to know how to...

This training explains cloud computing in general. The accompanying hands-on approach introduces you to (some of) the many features of SURF Research Cloud. You will learn how to create and manage your own virtual computing environment(s). By the end, you will feel comfortable enough to install your own applications, and benefit from the power of...

For whom? This introductory course is aimed at first-time and novice users of high-performance computing facilities. Many researchers can benefit from using a such supercomputing facilities to speed up their research or enable them to solve bigger problems. What to expect? Day 1 & 2 In the first two half-day sessions (primer course) you will...

Network monitoring, forensic analysis and more TRANSITS II training is aimed at more experienced members of already functioning CSIRTs. We focus in this training on techniques for network monitoring and forensic analysis. We also provide a number of tools to improve (human) communication - which is so essential precisely in CSIRT work. Practical exercises are...

Do you want to know more about the tools and facilities for compute and data to better support researchers in Research Data Management (RDM)? Then please join us for this in-person training! Calling all data supporters! We will be covering the whole research data lifecycle with discussions and demos of available tools - think of...

If you need to perform many calculations, or analyses that are too big for your own system, clusters and supercomputers provide the computing power you need. In this course, you will learn to work with the national supercomputer Snellius. What will you learn in this course? This course is a follow-up to the first introductory...

Would you like to learn the basics about Deep Learning? What? On day 1 of this course you will: Understand the fundamental theories of machine learning and the intuitions/ideas behind the algorithms Work with a high-level machine learning API (Keras) Explore hyperparameter space to improve a neural network Understand the pitfalls of classic machine learning...