22 post-doc-computer-vision Postdoctoral positions at UNIVERSITY OF HELSINKI in Finland
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Chinmey Dwibedi’s group at MIMS, Umeå, through the NORPOD program. Summary of the project The post-doctoral project aims to uncover genetic and adaptive mechanisms of the tumour associated microbiome in
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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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-Cell Genomics through the NORPOD program NORPOD is a collaborative postdoctoral program of the Nordic EMBL Partnership for Molecular Medicine . The partnership is a network of four national research
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/or medication security and sustainability. The position is open to applicants with a PhD degree in law with a topic that gives a good background for a post doc in this area. The post doc is expected
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The Radiochemistry Unit, Department of Chemistry , is seeking a post-doctoral researcher to take part in a 3-year Research Council of Finland-funded project. The project concerns the study of
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(half page) and research vision for (post)doctoral goals (half page) The closing date for applications is 31.7.2025. For further information on the position, please contact Sini Laakso: sini.m.laakso
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degree (PhD or equivalent) in computer science, data science, statistics, bioinformatics, or a related discipline A strong publication record in machine learning, computer science, bioinformatics
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offered a fully funded contract of up to 3 years. About the position The postdoctoral research position will require developing and applying cutting-edge machine learning methods to computer vision and
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group, established in 2018 at the University of Oslo, has recently expanded to the University of Helsinki. The group specializes in developing computational methods to understand the regulatory mechanisms
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-cancer data network analysis. The Kuijjer group, established in 2018 at the University of Oslo, has recently expanded to the University of Helsinki. The group specializes in developing computational