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, free from the imperfections of the resistive model and well-suited for NIS. We are seeking a Ph.D. student passionate about materials science, microelectronics, and artificial intelligence to develop
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intelligence and robotics. CEA systems will also help to stabilize supply-chain issues and export market timing, thus expanding market potential and opportunities to provide more equitable access to food and
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Associate position focusing on control systems engineering, artificial intelligence (AI), and scientific machine learning (SciML) applied to nuclear fusion energy. The successful candidate will join the
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events, food-borne pathogens, and invasive pests and diseases. These systems create opportunities for streamlining farm labor and advancing production techniques using artificial intelligence and robotics
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, researchers and professional staff are advancing innovation across aviation, space, artificial intelligence, cybersecurity, autonomous systems and next-generation engineering. Working alongside industry leaders
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, nanomedicine, advanced characterization techniques, synchrotron science, automation, and artificial intelligence for materials discovery. The project will establish quantitative process-structure-property
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on the integration of crop physiology, environmental monitoring, sensor technologies, process-based modelling, artificial intelligence and Digital Twin concepts to improve productivity, sustainability and resource-use
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, conducts research at the intersection of theory-based modeling, predictive simulation, artificial intelligence, and plasma control. Group members have backgrounds in plasma physics, applied mathematics
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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 | 3 months ago
bistable modules (characteristic dimensions, materials, geometry, etc.); - Develop mechanical models, either classical or using Artificial Intelligence, accounting for dynamic effects and nonlinear
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, machine learning, explainable artificial intelligence (XAI), digital twins, and integrated data-model approaches. • Study of the frugality of the developed approaches by reducing the requirements