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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
for sequential data modelling, including Physics-informed Machine Learning and Koopman Operator-based representation framework, towards building interpretable predictive models for complex multi-physics dynamical
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allows the successful applicant to choose a flexible balance between advanced machine learning method development and exciting applications on molecular data, including biomedicine and drug discovery
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11 Dec 2025 Job Information Organisation/Company AALTO UNIVERSITY Research Field Computer science Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Country Finland
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related fields. Demonstrated research experience in biodegradation, polymer-microbe interactions, or environmental biotechnology. Practical experience with bioreactors, analyzing multi-modal data and at
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for the Green Transition. This project could include working with a Finnish company, supporting their experimental electrolyser research project. For this reason, there might be also security clearance from
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generations of research and development professionals, data specialists, technology experts, inventors, and scientists for industry and society. The Macroscopic Quantum Optics (MQO) Group and Quantum
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transcripts Contact details of at least two referees The deadline for applications is 22nd of March 2026, but the position will remain open until filled. For additional information, kindly contact Prof. Andrei
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information on the available positions, please contact Prof. Tuomas Hytönen and/or Prof. Riikka Korte (riikka.korte@aalto.fi ) . In application process related questions, please contact HR Partner Johanna
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of novel methods and analysis of remote sensing data to monitor water table dynamics and biophysical properties of northern peatlands, from local to Holarctic scales. The position also involves participation