The Spring School provides a comprehensive, tutorial-style, hands-on, introductory and intermediate-level treatment to the essential ingredients for molecular modeling and computational chemistry using modern supercomputers. The School program consists of:

• Classical molecular dynamics, intro + hands on (1 day)
• Electronic structure theory, intro  + hands on (1 day)
• Machine learning in chemistry, intro + hands on (0.5 day)
• Special topics like Visualization with VMD, Enhanced Sampling, WF analysis etc.

The school is a must for graduate students in the field, providing an overview on "what can be calculated and how should it be done", without forgetting the important aspect of network building. Here's a blog post from last the 2019 School.

The learning outcome is to gain an overview of the two main methods in computational chemistry — molecular dynamics and electronic structure calculations — in connection with related HPC software packages and other useful skills in the trade. The workshop is also suited for an intensive crash course (the first two days) in computational modelling and is expected to be useful for students and researchers also in physics, materials sciences and biosciences. The following "Special topics" then build on this foundation.

Basic linux skills and elementary concepts of python programming will be very required. The participants are encouraged to familiarize themselves with these topics before the School. The main website will provide links to suitable self study materials.