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, cell culture, omics-methods (RNAseq), flow cytometry, other immunological methods and mouse colony management is required. The applicant should be highly motivated and have the ability to work
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questions: Where do new scientific ideas come from? Can a computer make new scientific discoveries? How will AI change the scientific method? Artificial intelligence systems like AlphaFold and self-driving
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methods Excellent communication skills and the ability to work both independently and collaboratively in an international team The appointee should either already have the right to pursue a doctoral degree
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both at the Department of Mathematics and Statistics (Faculty of Science) and at the Organismal and Evolutionary Biology Research Programme (Faculty of Environmental and Biological Sciences). We are also
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aspects of the project, including analyzing near-Sun observations of CMEs and shocks, running three-dimensional numerical simulations to model the Sun-to-planet evolution of CMEs and their sheath regions
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Researcher (R3) Country Finland Application Deadline 7 Jan 2026 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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publications and conference presentations The candidate is expected to have Education, experience and technical skills A relevant PhD degree with previous experience with crop physiological methods, plant-soil
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both in health and disease. The suitable candidate would need to have either degree or extensive experience in computational sciences. OUR RESEARCH Our group’s web page: https://www.helsinki.fi/en
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2025 - 00:00 (UTC) 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 staff position within a
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at work, high community spirit and clear everyday practices. Learn more about our research culture and how we work here: https://www.helsinki.fi/en/researchgroups/digital-geography-lab/our-culture