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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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and at the clearance level - To define sizing criteria - To optimize the piston ring geometry (axial/radial dimensions; sealing clearance, surface finish, materials, etc.) for different application
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flavonoids, using supercritical CO₂ (scCO₂). Operational conditions will be optimized to preserve their bioactivity while reducing environmental impact. This approach will be compared with more conventional or
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are as follows: Optimize and develop new measurement protocols for single-crystal paleointensity, in particular by combining this technique with the use of a "multispecimen" approach. Test a potential bias
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leveraged to improve existing modulation models describing how large scales alter heat transfer. Optimal oscillations will be designed using reinforcement learning. Extending inner-outer interaction models
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research group in computer vision and machine learning, with seminal results in 3D reconstruction from images, scene understanding, deep learning, optimization, sparsity, etc. IMAGINE is part of
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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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the structure of the BMP1/PCPE2 complex by cryo-electron microscopy with the help of previously developed Nanobodies® to stabilize flexible regions. Finally, we will engineer an optimized inhibitor of BMP1 with