26 computer-science-image-processing-"Prof" Postdoctoral positions at UNIVERSITY OF HELSINKI in Finland
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Department of Computer Science of Faculty of Science invites applications for a POSTDOCTORAL RESEARCHER IN ALGORITHMS AND COMPUTATIONAL BIOLOGY starting from September 2025, or as agreed
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program of the Nordic EMBL Partnership for Molecular Medicine . The partnership is a network of four national research centers across the Nordics and the European Molecular Biology Laboratory (EMBL) , with
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centers across the Nordics and the European Molecular Biology Laboratory (EMBL) , with complementary research expertise at the forefront of molecular medicine research. With the NORPOD program, the Nordic
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, developmental biology, genetics, biomedicine, or another appropriate field. Previous experience in confocal imaging and image analysis, scRNA-seq data analysis, or genetically engineered mouse models is
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The Faculty of Social Sciences at the University of Helsinki invites applications for the position of POSTDOCTORAL RESEARCHER ON Aquatic Science and Technology Studies and More-than-human relations
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/researchgroups/nuclear-organization-by-actin) . We are seeking a motivated researcher to join our team in the field of cell and molecular biology. By combining advanced imaging techniques with functional genomics
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Swedish School of Social Science at the University of Helsinki invites applications for the position of Postdoctoral researcher for a fixed term period of up to 2 years 6 months. The postdoctoral
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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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approach that includes advanced bioimaging and image analysis, cell biology and genetics, and omics technologies. Qualifications We invite applications from candidates with a background in cell and
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processes contributing to cancer. The candidate We seek a motivated candidate with a strong interest in computational cancer research, who is enthusiastic about applying deep learning methods to cancer data