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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
multi-physics modelling of electrochemical processes can be a plus. We value candidates who are collaborative team players, intellectually curious, and open to exploring new research directions. A track
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degradation. The candidate is expected to have a strong background in biotechnology, enabling them to design new valorization strategies and process scale-up. The position will be filled for a fixed-term period
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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
proficiency in Python is required, and hands-on experience with ML libraries such as PyTorch is expected. Theoretical understanding and experience with multi-physics modelling of electrochemical processes can
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(Department of Mechanical Engineering) educates game-changing energy and HVAC engineers and researchers, supports industries and communities in their decarbonization and green energy transition processes and
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Applications (EMA) research group (https://www.aalto.fi/en/department-of-chemistry-and-materials-science/electrochemical-materials-and-applications ), led by Prof. Daniel Martin-Yerga, is seeking a highly
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this department, the Electrochemical Materials and Applications (EMA) research group (https://www.aalto.fi/en/department-of-chemistry-and-materials-science/electrochemical-materials-and-applications ), led by Prof
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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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algebras, tensor categories, lattice models of statistical physics, conformally invariant random processes, formalization of mathematics (preferably in Lean). The working language of the group is English
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emphasis in health and biomedical research. Aalto University hosts the FCAI flagship (https://fcai.fi ) and the ELLIS Institute Finland (https://www.ellisinstitute.fi ), part of the pan-European AI network
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to the application process, please contact HR partner Sanni Mero (sanni.mero@aalto.fi ). Want to know more about us and your future colleagues? You can watch these videos: This is Aalto University! , Aalto University