The Computational Biology group, led by ICREA professor Alfonso Valencia, is looking for a Master's student to work on protein frustration, more specifically studying the evolutionary energy landscape of protein superfamilies. The student will contribute to expand FrustraEvo, a tool that calculates conserved local frustration patterns in proteins within the same protein family.
The successful candidate will join a dynamic research group within the Life Sciences department, which integrates independent senior scientists that 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 proteomics
Participate in internal group meetings and other scientific discussions
Termini per aplicar: Dijous, 16 Febrer, 2023
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