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R, algorithms and systems designed to extract insights from large datasets. Experience with integrating and analyzing diverse data sources, such as biodiversity (e.g., the IUCN Red List of Species and
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the Materials Informatics Laboratory https://sites.utu.fi/mil/ , which is a multi-cultural and cross-disciplinary team. The computational group combines algorithms from artificial intelligence with materials and
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The successful candidate should have: Doctoral degree in a relevant field (e.g. bioinformatics, genetics, computer science or molecular biology) Proven programming skills (preferably Python, other languages also
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to epidemiological cohort studies that contain behavioral, clinical and genetic information. The successful applicants should contribute to one or more of the research themes of the project . The project is associated