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of these materials and structures. This approach enhances both predictive simulation and inverse design strategies, optimizing the composition and arrangement of materials in the 3D design space. Within
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and fed with data available in the literature. The model will first be developed online and then reduced and optimized for integration into embedded electronics, taking into account performance
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to optimize the existing experimental setup, develop new methodologies to conduct the proposed experiments, analyze and interpret experimental data in collaboration with fellow researchers in and outside
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, Communication, Optimization • SyRI: Robotic Systems in Interaction The PhD student will join the CID team, whose research focuses on Artificial Intelligence, including statistical learning, uncertainty management
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, including fluid mechanics, thermics and combustion. The PhD student will be attached to the team Curiosity Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UPR3346-NADMAA-148/Candidater.aspx
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(PhD). • State-of-the-art, exciting research in an international consortium with highly integrated research projects. • Expert training in basic and applied research, along with a thorough understanding