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faculty. The Department of Mathematics and Systems Analysis is seeking two to four Postdoctoral Researchers in Mathematical Analysis to work under the supervision of Prof. Tuomas Hytönen and/or Prof. Riikka
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motivated to conduct fundamental research What we offer The MQO and QNOF teams combine advanced quantum optics methods in both discrete and continuous variables with cutting-edge solid-state systems aimed
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) Application Deadline 13 Mar 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
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The doctoral researcher will be a part of the Energy Conversion and Systems research group in the Department of Energy and Mechanical Engineering. The supervisor will be Prof. Hirushie Karunathilake. Your
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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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information about the position, please contact Prof. Ali Tehrani (ali.tehrani@aalto.fi ). Ready to apply? Follow the instructions carefully and submit a single pdf document (max. 10 pages in English) through
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community with numerous doctoral students, postdoctoral researchers, and faculty members from several countries and multidisciplinary backgrounds. Our expectations The Postdoctoral Researcher position is
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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 Research Infrastructure? No Offer
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Condition Modelling Are you interested in developing data-driven methods that improve how water utilities understand, manage, and prioritise their buried infrastructure? We are now looking for a Doctoral