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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
for predictive modelling and state estimation for fundamental applications within physical sciences. Your role The main research responsibilities involve building cutting edge machine learning techniques
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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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and advise other researchers up to the PhD student level Write and publish high-quality scientific papers and present your work at high-impact conferences Perform and support teaching activities
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candidates. Our department has a particularly welcoming culture, nurturing innovativeness and communication among our international and diverse faculty. The Mathematical Physics Research Group in
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welcoming culture, nurturing innovativeness and communication among our international and diverse faculty. The Mathematical Physics Research Group in the Department of Mathematics and Systems Analysis
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and polymeric materials, novel catalytic process, process control, and process systems engineering. Your experience and ambitions We are looking for highly motivated candidates with: Excellent PhD
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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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testing and analyzing experimental results Participating in commercialization of developed materials Qualifications: PhD in one of the following broader experimental areas: physics, chemistry, materials
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, and process systems engineering. Your experience and ambitions We are looking for highly motivated candidates with: Excellent PhD research results Experience in industrial collaboration and working in