47 web-programmer-developer "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" Postdoctoral positions in Finland
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. The project already includes existing datasets and established pipelines, and the successful candidates will contribute both by analyzing and extending these resources and by developing new data and approaches
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of Helsinki offers comprehensive services to its employees, including occupational health care and opportunities for professional development. Please read more at https://www.helsinki.fi/en/about-us/careers
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information, please visit https://www.helsinki.fi/en/hilife-institute-of-biotechnology . University of Helsinki's Biomedicum Helsinki is an elite community of over 90 research groups on the Meilahti campus
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The University of Eastern Finland is
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development (https://www.helsinki.fi/en/about-us/careers ). How to apply A response to essential criteria (max 2 pages). Please ensure you provide demonstrated experiences from your previous work in relation
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2026. The research will be carried out within the newly established Centre of Excellence (CoE) in Neutron-Star Physics (https://neutronstars.fi/ ), funded by the Research Council of Finland. The CoE
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28 Feb 2026 - 00:00 (UTC) Country Finland Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to
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Evolution in Response to Human Influence” funded by the Helsinki Institute of Life Sciences (HiLIFE). The project aims to establish a scientific foundation for investigating viable ancient bacteria recovered
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Project: Statistical modelling the Evolution of Sex-Specific Differences in Life History and Immunity Supervisors: Dr. Elina Numminen, Faculty of Science, University of Helsinki, and Dr. Piret Avila
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the Finnish Center of Excellence in Quantum Materials . Your role and goals The research will focus on developing and using machine learning algorithms to discover novel materials and to build generative models