Master Student - Functional analysis of artificial proteins generated by deep learning models (R0) per al Barcelona Supercomputing Center

The Computational Biology group, led by ICREA professor Alfonso Valencia, is looking for a Master's student to work on a protein design project that analyses a set of artificial protein sequences generated by protein language models. The artificial proteins will be generated using state-of-the-art deep learning models and subsequently analysed in comparison to natural proteins from both sequence and structural-based perspectives. The generated proteins will also be analysed using coevolutionary methods, which are able to identify functional or evolutionary constraints in specific amino acid sites. This project is relevant to improve the characterization of artificial proteins generated by deep learning, which is the basis of modern protein design.

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, will have access to systems and computational infrastructures, and will establish collaborations with experts in different areas.

Key Duties

Participate in internal group meetings and other scientific discussions.

Develop a master thesis in the area of protein design

Termini per aplicar: Dimarts, 28 Febrer, 2023

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