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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
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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partnerships, we are committed to addressing global challenges and inspiring future leaders. The research at our school is focused on areas such as functional materials, metallurgical processes, biomass refining
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accepted for the Doctoral programme during your 6 months probationary period to continue working within the project. Please note that Doctoral Program call is a different application process with different
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digital health Computing systems and networks Cybersecurity Human-computer interaction Machine learning and artificial intelligence Software engineering Position details Positions are intended
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at the Department of Applied Physics | Aalto University In any recruitment process related questions, please contact PHYS HR team. E-mail: phys-hr@aalto.fi Are you an international student or coming from abroad