12 power-system-"https:"-"https:"-"https:"-"CEA-IBS" Postdoctoral positions in Finland
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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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degree at the University of Helsinki can be found at https://www.helsinki.fi/en/research/doctoral-education/eligibility-and-educational-documents . Finland is a member of the EU, has high quality free
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. The University of Helsinki is a top 100 ranked university in most ranking lists, and invests heavily in Earth system research, please see https://www.helsinki.fi/en/faculty-of-science/faculty/institute
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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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synthesis methods for the Abstraction and Reasoning Corpus (ARC) challenge . ARC is a benchmark designed to measure an AI system's ability to efficiently acquire new skills outside its training data
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receiving your application as soon as possible. However, it is possible to apply until February 28, 2026 (at 23:59 UTC +2). The ideal starting date is from March 2026 onwards, and preferably by September 2026
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letters upon request. Candidates are required to submit their applications via the University of Helsinki's electronic recruitment system. Please note that the recruitement system might in
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interactions across ecosystem boundaries, yet the mechanisms linking terrestrial and aquatic communities remain poorly understood. This postdoctoral position is part of the TRACE – Trait Responses Across
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Microbial Ecology and Evolution Research group led by Professor Ville-Petri Friman at the Department of Microbiology, Faculty of Agriculture and Forestry, University of Helsinki is looking for a
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looking for a postdoctoral researcher to work in the “Sex Differences in Immunity (SEXDIM)” project. The project aims to provide insight into how changing fertility patterns and environmental factors relate