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, with the longer-term objective of improving the prediction of fast-charging behaviour. Your project will be to build or adapt a machine-learning interatomic potential for lithiated graphite using density
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on this benchmark. - Write a publication about this benchmark. #Cea List Moyens / Méthodes / Logiciels AI, Deep Neural Network, Computer Vision, Human behavior analysis Profil du candidat Profile - Students in
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on the development of superconducting interconnects, which are essential for ensuring the thermomagnetic isolation of quantum devices in addition to ensuring the electrical continuity of the device. The proposed
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science, electrical engineering, embedded systems, or a related field. Strong candidates will have experience in one or more of the following areas: hardware security and fault injection attacks, formal methods and
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one of the major challenges of the energy transition: delivering sustainable cooling with significantly reduced electricity consumption. You will join CEA LITEN, a leading European research institute
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physics, microwave engineering, electrical engineering, physics or a closely related field. The ideal candidate will have: A solid background in plasma physics and/or microwave diagnostics; Experience in
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in the field of operational research and/or machine learning algorithms would be a plus. In accordance with the commitments made by the CEA to promote the integration of disabled people, this job is