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to the analysis of of high-throughput genomics data, comparative genomics, functional genomics, or a related field. The candidate should be excited about applying computational tools to answer questions in biology
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both of these is a strong advantage. Experience with the application of ML/DL approaches to omics data, computational tool development, multi-omics data integration, and knowledge of cancer biology and
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should hold a PhD degree in molecular biology, biochemistry, cancer biology or related fields. Expertise in biochemistry, transcriptomics, NGS data analysis and basic programming in R/Python is a pre
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students. The Department of Physics (Faculty of Science ) is a large and multidisciplinary department that offers the most varied university programme in the physical sciences in Finland. At the beginning
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interest and background in computational biology/bioinformatics are strongly encouraged to consider this opportunity. Our research is funded by the Research Council of Finland, Sigrid Jusélius Foundation
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omics data from human patient samples. Individuals with a strong interest and background in computational biology/bioinformatics are strongly encouraged to consider this opportunity. Our research is
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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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Researcher (R3) Country Finland Application Deadline 25 Mar 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU