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As an intern at the CEA, you will have the opportunity to work in a world-renowned research environment. Our teams consist of passionate and dedicated experts, providing an environment conducive
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from a radar sensor. They will rely on AI algorithms based on GNNs currently being developed within the laboratory. The student will be integrated into a dynamic multidisciplinary team and will benefit
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of the computing system integrating an optical link and develop appropriate model in VPSim plateform - Develop a high-level virtual prototype based on CEA VPSIM simulation tool to provide first estimations of KPIs
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/equilibrium reconstruction from limited, noisy diagnostic measurements. Scenario Optimization: Develop plasma scenario optimization workflows leveraging nonlinear programming, genetic algorithms, and
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an interdisciplinary project, funded by National Research Foundation Singapore (NRF) under the AI-for-Science Catalytic Grant, which aims to develop AI-driven urban farming systems for crop yield and
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Job description Recent trends in Controlled Environment Agriculture (CEA) development, design, and operations related to energy saving and greenhouse gas emission reduction, are mainly focused
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safety-critical tasks, such as healthcare or automated vehicles, where trustworthy models are required. The existing literature for the OoD detection problem focuses on the development of confidence scores