The Computational Biology group, led by ICREA professor Alfonso Valencia, is looking for a Master's student to work on the link between local frustration and conformational diversity within protein ensembles. The student will contribute to adapt the computational algorithms behind FrustraEvo, which calculates conserved local frustration patterns in proteins within the same family to develop a new tool, FrustraEnsemble, to calculate and cluster the conformational space of a given protein based on local frustration, exploring the connections between local frustration and the ability of a protein to explore its conformational space.
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 frustration and conformational ensembles
- Participate in internal group meetings and other scientific discussions
Data de tancament: Dissabte, 31 Agost, 2024
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