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regulatory processes contributing to cancer. The candidate We seek a highly motivated candidate with a track record of statistical models, network science, and/or computational tool development dedicated
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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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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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degree in computer science or a related technical field or proven skills of applying machine learning models in conservation science or other environmental sciences. Be proficient in programming languages
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. Applicants must have a doctoral degree in geography, geoinformatics, computer science, data science, or a related field. Advanced PhD candidates are also encouraged to apply, however the appointee must have a
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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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20 Feb 2025 Job Information Organisation/Company UNIVERSITY OF HELSINKI Research Field Biological sciences Computer science Mathematics Researcher Profile Recognised Researcher (R2) First Stage
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. Applicants must have a doctoral degree in geography, geoinformatics, computer science, data science, or a related field. Advanced PhD candidates are also encouraged to apply, however the appointee must have a
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8 Mar 2025 Job Information Organisation/Company UNIVERSITY OF HELSINKI Research Field Biological sciences Computer science Researcher Profile Recognised Researcher (R2) Established Researcher (R3
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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