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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
to develop machine learning-enabled approaches for predictive modelling and state estimation for fundamental applications within physical sciences. Your role The main research responsibilities involve building
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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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For Doctoral Researcherposition: MSc in Applied Mathematics, Engineering Physics, Electrical Engineering, or related field. For Postdoctoral Researcherposition: PhD in Applied Mathematics, Engineering Physics
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, 1 postdoc and 5 PhD students. The group is led by Professor Ilkka Tittonen. Your experience and ambitions Applicants are expected to hold a PhD and excellent study records in theoretical physics
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Applicants are expected to hold a PhD and excellent study records in theoretical physics, mathematics, computer science, or other relevant field. have sufficient background in quantum computing to conduct
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in topological materials and eagerness to work on tough experimental challenges. We expect the candidates to have: PhD degree in physics or in a nearby field Experience on 2D materials and quantum
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superconducting materials and eagerness to work on tough experimental challenges at low temperatures. We expect the candidates to have: PhD degree in physics or in a nearby field Experience on silicon materials, 2D
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Researcher position: PhD in Applied Mathematics, Engineering Physics, Electrical Engineering, or related field. A good command of English, both written and spoken. Good programming skills in languages such as