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and with the 2AT team at Institut Pprime to develop resolvent-based modelling tools for turbulent jets in cases where the jet mean flow is three-dimensional. The researcher shall: - Develop a high-order
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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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compatible with high-speed imaging over long durations, (2) optimize system control and develop signal processing tools, and (3) apply it to imaging challenges involving organoids and living biological tissues
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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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research, - a high degree of autonomy and creativity in problem-solving, - openness to collaboration with industrial partners (Airbus) and have a strong interest in aerospace modelling projects
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close coordination with project partners, the recruited researcher will conduct experiments to determine the extent to which neural models, now at the heart of many approaches to Natural
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and microfabrication to control and measure the dynamic properties of cancer cells. The Ladoux-Mege team is composed of scientists with various expertise that cover a large range of disciplines