PhD Course: Integrative Structural Biology
Course overview
In this course, students are introduced to 3D modelling of biomolecules using simulations, machine learning, X-rays, neutrons, photons, electrons and magnetic spins. Students gain hands-on experience with advanced, experimental techniques for probing biomolecules and will learn to apply computational modelling and machine learning methods to biological data. Students visit large-scale research facilities including MAXIV and ESS at Lund, produce their own research poster and are invited to participate in a nationwide interdisciplinary summer camp.
Course Modules
The course runs in conjunction with a MSc course and takes place over the spring semester . The PhD course includes three components:
- Experimental modules: PhD students will receive hands-on training and complete practical exercises with some of the most important and innovative experimental techniques for doing structural biology. There are 12 different experimental methods on offer in the course and students will participate in 3-4 of the experimental modules.
- Computational integration: The second part of the course will provide an overview of how computational methods in structural biology, e.g. molecular dynamics simulations and machine learning methods, can be used to study the structure and dynamics of proteins and how computational methods can be used for protein design.
- Poster production: students will produce and present a poster.
Details
There are only 10 available spots for PhD students so please register asap if you are interested in participating. The course will run between February and June 2025. The course is 10 ECTS.
Click here for more information and to register now.