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-quality and high-impact research and for creating research networks supporting their careers. We welcome applications across all areas in Computer Science, including Algorithms and theory Bioinformatics and
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information sciences. In parallel with basic research, we develop ideas and technologies further into innovations and services. We are experts in systems science; we develop integrated solutions from care
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, reopen the application process, and to consider candidates who have not submitted applications during the application period. We aim to have a transparent and equal recruitment process, so feel free to ask
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strong track record of research in III-V or III-Nitride semiconductors and excellent understanding of semiconductor device physics Hands-on experience and solid understanding of epitaxial processes
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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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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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(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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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