Master Student - Machine Learning for Biomedical Research (R0) per el Barcelona Supercomputing Center

The Machine Learning for Biomedical Research Unit, led by Dr Davide Cirillo, is looking for a master's student to work on the use of multilayer networks for the study of the neurogenetic disease Friedreich's ataxia in collaboration with Instituto de Investigación Germans Trias i Pujol (IGTP). The successful candidate will complete a master’s thesis addressing the following topics: genetics and pathophysiology of Friedreich's ataxia, analysis and interpretation of clinical and omics data, and graph-based approaches for prediction and classification in rare disease scenarios.

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

Complete a master’s thesis in bioinformatics.

Participate in internal group meetings and other scientific discussions.

Data de tancament: Dimarts, 05 Desembre, 2023

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