The Computational Biology group, led by ICREA professor Alfonso Valencia, is looking for a Master's student to work on protein frustration, specifically studying the evolutionary energy landscape of protein superfamilies. The student will contribute to expanding FrustraEvo, which calculates conserved local frustration patterns in proteins within the same family.
The successful candidate will join a dynamic research group within the Life Sciences department, which integrates independent senior scientists who work on various aspects of computational biology, ranging from bioinformatics for genomics and proteomics to computational biochemistry and text mining. The Researcher will work in a highly sophisticated HPC environment, have access to systems and computational infrastructures, and establish collaborations with experts in different areas.
Key Duties
- Develop a master thesis in the area of protein evolution and frustration
- Participate in internal group meetings and other scientific discussions
Data de tancament: Dissabte, 16 Desembre, 2023
Més posts de Recerca
Comentaris