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. Collaborate with an interdisciplinary group of universities, research organisations, system operators, energy companies, technology providers, and data centre operators. Participate in data collection, analysis
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community. We are particularly interested in candidates with: Strong computational and bioinformatics expertise combined with interest in cancer biology and gene regulation. Background can be PhD or even MSc
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of Excellence in Neutron-Star Physics 2026-2033 (https://neutronstars.fi/ ), funded by the Research Council of Finland. The Centre of Excellence status provides us with long-term funding, strong connections
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to maintaining a collaborative and supportive research environment. Your qualifications We are looking for an ambitious and highly motivated scientist with: A PhD in molecular biology, genetics, stem cell biology
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you: A relevant PhD degree and preferably a completed postdoctoral period.Applicable fields: stream ecology, biogeochemistry, environmental science, environmental engineering (the last three mainly in
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background and PhD degree in medical science, biology, neuroscience, neuroimmunology, computational science, or related fields, and skills for working with empirical imaging and biological data. Experience
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saija.marjasto(at)utu.fi Department of Biodiversity Sciences Multidisciplinary research and teaching lie at the heart of the activities of the Department of Biodiversity Sciences . As well as these, the unit also
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contact HR Specialist Saija Marjasto saija.marjasto(at)utu.fi Department of Biodiversity Sciences Multidisciplinary research and teaching lie at the heart of the activities of the Department of Biodiversity
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. Contribute to writing scientific articles, conference presentations, grant applications and supervision of Master’s students and PhD researchers. Take part in open science and code sharing. Skills, expertise
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supervision of Master’s students and PhD researchers. Take part in open science and code sharing. Skills, expertise and qualifications A PhD degree in computational biology, machine learning, computer science