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skills by providing high-performance perception, decision and control functionalities based on AI model outputs that are controlled to be dependable and trustworthy. The selected candidate will join the
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matter physics, with a staff of 450, including 175 researchers and lecturers. The MEM laboratory (CEA Grenoble) conducts research on the exploration of materials and devices using advanced simulation
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field modeling of brittle fracture: Part I—Theory and simulations, Journal of the Mechanics and Physics of Solids, Volume 121, 2018, Pages 81-98, https://doi.org/10.1016/j.jmps.2018.07.010. [2] Lamia
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Laboratory of Computer Science, Robotics and Microelectronics of Montpellier (LIRMM) and Alternative Energies and Atomic Energy Commission (CEA) | Montpellier, Languedoc Roussillon | France | 2 months ago
robotics and to develop a comprehensive methodology for the design, modeling, control, and experimental validation of frugal multi stable robots, from the elementary module to the assembled robot. The work
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, numerical process simulation, and advanced characterization techniques (synchrotron, TEM, EBSD), will be implemented. The ideal candidate will hold a Master's degree or an engineering degree in Materials
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. Within the GARANCe UPR: Conduct research related to industrial and energy transitions and their impacts on regions. Possible research areas include: Modeling and simulation of combustion and explosion
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functional simulation platform for Drosophila larva locomotion, which already incorporates muscle and body dynamics models. Your role will be to refine, validate, and expand this simulation framework
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industrial contexts remains limited due to several structural limitations: · limited interpretability of model behavior; · weak guarantees regarding robustness and reliability
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chemistry, heterogeneous catalysis, electrical and thermal engineering, Multiphysics modelling, process engineering), along with a major industrial partner totalEnergies. Objective: To design, formulate
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for exploiting datasets (on-line, off-line), intelligent models (data-driven, numerical) and simulation results (digital twins, multiagent systems). he objective of the project is the protection of drinking water