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flagship (https://fcai.fi ) and the ELLIS Institute Finland (https://www.ellisinstitute.fi ), part of the pan-European AI network of excellence (https://ellis.eu/members ). Significant high-performance
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://www.timeshighereducation.com/unijobs/listing/404805/post-doctoral-posit… Requirements Additional Information Work Location(s) Number of offers available1Company/InstituteAALTO UNIVERSITYCountryFinlandCityFinland (FI)Geofield
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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
Engineering at Aalto University explores synergies between nonlinear control theory and machine learning to provide formal guarantees on performance, safety, and robustness of complex systems. We are a part of
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faculty and staff working on our dynamic campus in Espoo, Greater Helsinki, Finland. Diversity is part of who we are, and we actively work to ensure our community’s diversity and inclusiveness. This is why
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the Department of Mathematics and Systems Analysis at the School of Science is seeking two Postdoctoral Researchers in Mathematics in probabilistic and algebraic approaches to quantum field theory to work under
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at the School of Science is seeking two Postdoctoral Researchers in Mathematics in probabilistic and algebraic approaches to quantum field theory to work under the supervision of Prof. Kalle Kytölä and Academy
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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
between nonlinear control theory and machine learning to provide formal guarantees on performance, safety, and robustness of complex systems. We are a part of the Finnish Center for Artificial Intelligence
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into the same devices. The research project is part of a larger consortium, gathering world-class researchers in remote sensing with expertise ranging from estimation and optimization theory to hardware design
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, Greater Helsinki, Finland. Diversity is part of who we are, and we actively work to ensure our community’s diversity and inclusiveness. This is why we warmly encourage qualified candidates from all
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-of-the-art results in many applications. As a leading expert on the use of optimal transport theory in inverse problems, Prof. Elvander is working towards making the framework a powerful tool for applications