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, providing direct feedback on theory analysis and further predictions. The goal is to develop a theoretical and computational approach that has strong predictive power for finding completely new types
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Randomness and Structures; and Geometric analysis, stochastics and partial differential equations, interactions and applications . The starting date is flexible, preferably no later than September 2026
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optomechanical interaction for the polaritons and mechanical modes in GHz range. The project is carried out in close collaboration with leading experts in semiconductor cavity optomechanics in Berlin, providing
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Material science research themes. The role will include designing and standardizing analytical pipelines, quantitative biodegradation assays to validate material-microbe interactions, and tracking polymer
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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
23 Jan 2026 Job Information Organisation/Company AALTO UNIVERSITY Research Field Computer science Engineering Mathematics Researcher Profile Recognised Researcher (R2) Established Researcher (R3
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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
models. You will also have opportunities to contribute to open-source computational tools and datasets, teach master-level courses, and advise doctoral students. You will closely collaborate with Prof
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. The position gives excellent opportunities in publishing in high-quality forums. We expect the applicants to have a PhD degree (or close to completing one) in computer science, mathematics or statistics, with
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and advise other researchers up to the PhD student level Write and publish high-quality scientific papers and present your work at high-impact conferences Perform and support teaching activities
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Finland Application Deadline 18 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 programme Is the Job
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-performance computing resources Experience conducting fieldwork in remote or logistically demanding environments A valid driving license in Finland, and willingness to drive independently during field campaigns