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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
. Scientific Environment The Nonlinear Systems and Control group (https://www.aalto.fi/en/department-of-electrical-engineering-and-automation/nonlinear-systems-and-control ) in the School of Electrical
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20 Jan 2026 Job Information Organisation/Company UNIVERSITY OF HELSINKI Research Field Physics Chemistry Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Application
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for separately (www.helsinki.fi/en/research/doctoral-education/the-application-process-in-a-nutshell ). The requirements for pursuing a doctoral degree at the University of Helsinki can be found at https
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20 Dec 2025 Job Information Organisation/Company University of Turku Research Field Computer science » Other Engineering » Computer engineering Mathematics » Algebra Mathematics » Applied
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8 Nov 2025 Job Information Organisation/Company Tampere University Research Field Computer science » Programming Computer science » Other Engineering » Control engineering Engineering » Industrial
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Physics Engineering Other Researcher Profile Recognised Researcher (R2) Country Finland Application Deadline 18 Dec 2025 - 22:59 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded
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20 Dec 2025 Job Information Organisation/Company University of Turku Research Field Computer science » Other Engineering » Computer engineering Mathematics » Algebra Mathematics » Applied
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6 Nov 2025 Job Information Organisation/Company University of Turku Research Field Chemistry » Other Computer science » Other Engineering » Materials engineering Physics » Computational physics
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22 Nov 2025 Job Information Organisation/Company LUT University Research Field Agricultural sciences » Other Engineering » Chemical engineering Engineering » Other Researcher Profile Recognised
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applications that hold great technological potential. Our research focuses on Materials physics, Quantum technology, Soft & living matter, and Advanced energy solutions. Topics extend from fundamental research