52 proof-checking-postdoc-computer-science-logic positions at UNIVERSITY OF HELSINKI in Finland
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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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University of Helsinki is one of the world’s leading universities for multidisciplinary research. The Helsinki Institute of Life Science HiLIFE is an independent research institute that supports
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University of Helsinki is one of the world’s leading universities for multidisciplinary research. Helsinki Institute of Life Science HiLIFE is an independent research institute that supports high
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Description University of Helsinki is one of the world’s leading universities for multidisciplinary research. Helsinki Institute of Life Science HiLIFE is an independent research institute
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experience during their PhD and postdoc periods. The selected group leaders are expected to initiate a new independent research program in one of FIMM’s research fields. Background FIMM is a leading molecular
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competencies. Role Requirements A Master’s or Doctoral degree preferably in psychology, cognitive science, computer science, or a related field. Meticulous work ethic and excellent time management. Prior
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physics, applied physics, computer science or in a closely related field. MSc students near the completion of their degree are also encouraged to apply. The candidate should have: Willingness to pursue a
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to the development of reproducible analysis workflows and pipelines. You have a PhD in bioinformatics, computational biology, data science, computer science, genetics or other relevant field. You have successfully
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the candidate can start in autumn 2025. Background Our group develops and applies systems pharmacology strategies to design rational combinatorial therapies for cancer. We combine both computational (dry-lab) and
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intersection of computational biology, biotechnology, and precision medicine. You will contribute to the development of innovative bioinformatics tools and perform in-depth analysis of cutting-edge datasets