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research, - autonomy and creativity in problem-solving, - openness to collaboration with industrial partners (Airbus) and have an interest in aeronautical modelling projects. The candidate must hold a PhD in
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, - openness to collaboration with industrial partners (Airbus) and have a strong interest in aerospace modelling projects. The candidate must hold a PhD in mechanical engineering, aerospace engineering or a
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Description The overarching mission is to conduct research combining machine learning, data assimilation, and physical modeling to enhance short-term (days/weeks) forecasts of Arctic sea ice conditions. The
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to collaboration with industrial partners (Airbus) and have a strong interest in aerospace modelling projects. The candidate must hold a PhD in mechanical engineering, aerospace engineering or a related field. The
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, 180 PhD students and 40 fixed-term contract staff. The research work will be carried out within the D2-FTC department, Fluids, Thermal and Combustion, which corresponds to a continuum ranging from fluid
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using this module in the model bacterium Escherichia coli. Redox titration approaches coupled with EPR (Electron Paramagnetic Resonance) spectroscopy techniques will be used to stabilize and study the