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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
predictive models for complex multi-physics dynamical systems as well as towards designing observer-based state estimators from output timeseries data measurements. The research also involves development
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to connect these profiles with the underlying intra- and intercellular regulatory networks, and to capture immune system/disease states in multi-omics models. You will have the opportunity to collaborate with
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2nd March 2026 or as soon as possible thereafter, for a duration of 2 years with possible extension. The position is fixed-term, as it is related to the research project to the newly established Centre
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the Neuroscience Center in the University of Helsinki (see: https://www2.helsinki.fi/en/researchgroups/synaptic-plasticity-and-development ).The research interests are focused on functional maturation of neuronal
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project "GENTRY - Towards sustainability of multi-generational learning at work ”, which investigates generationality and its construction in healthcare and ICT organizations in Finland, Sweden, and Denmark
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-Service (MaaS) ecosystem. The work will integrate deep reinforcement learning, autonomous agent modelling, and multi-objective optimization to enable predictive simulation, real-time resource management
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construct particularly complex knotted macromolecules and / or polymers from oligophenylene strands. Who we are looking for Previous experience in supramolecular chemistry and/or multi-steps organic synthesis