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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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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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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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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
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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
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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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, conformally invariant random processes, formalization of mathematics (preferably in Lean). The working language of the group is English, and we expect all our team members to have strong written and oral
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fabrication processes and equipment for micro- and nanostructures. The facilities cover a comprehensive range of equipment, including atomic layer deposition devices, electron microscopy, x-ray scattering
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of Applied Physics, Aalto University with high-tech facilities in this department along with the facilities in Micronova and OtaNano. OtaNano offers a wide variety of fabrication processes and equipment
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well as to prepare new devices and methods of quantum information processing. Our goal is to achieve JoFETs by utilizing hybrid devices based on silicon and high-quality superconducting silicides. Remarkably