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freshly resected patient tumor material for evaluation of immunotherapeutic strategies. The research group focuses on exploration of tumor immune microenvironments through spatial omics and imaging
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program Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes
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complex biological processes. This project combines timely analytical challenges with deep rooted applications in life science. We are looking for a candidate with a PhD in either engineering/computer
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Wählby’s research group. Requirements You must have a PhD degree within digital image analysis/image processing or similar, or alternatively in bioinformatics/biomedicine/biology or similar. Documented
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of Gothenburg promotes equal opportunities, equality and diversity. We are seeking a highly motivated Associate Researcher (Data Scientist) with a strong background in computational image analysis, particularly
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omics, single-cell genomics, high-resolution imaging, and computational infrastructure. Close mentorship with opportunities to lead projects, co-supervise students, and develop research independence
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General description of the DDLS Fellows programme Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels