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We are looking for a co-design engineer for future computing architectures in HPC. This position, in a fixed-term contract, is based at the Nano-Innov site of Paris-Saclay, Essonne (91). As part of
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environment. A good command of written and spoken English is essential. Why Join Us? This position offers a unique opportunity to work on an innovative and potentially disruptive energy technology addressing
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project is to achieve the integration of quantum devices within Fully Depleted Silicon-On-Insulator (FD-SOI) technology on a 300 mm platform. The success of this integration critically depends
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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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1,000 seconds. This postdoctoral position is part of a three-year collaborative project led by the Plasma Physics Laboratory (LPP) at École Polytechnique and involving German partners. The project aims
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of possible atomic configurations exceeds 2^2500? That is the bottleneck our IRESNE (nuclear fuel physics) and LIST (AI) teams have just cracked with PULSE, a generative (VAE) method published in Nature
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(en mois) 6 Description de l'offre Missions : Graphite is the reference negative-electrode material in Li-ion batteries, but its lithiation involves complex phase transitions and staging. Quantitative
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ESTHER is a 1D Lagrangian code for radiation-matter interaction that studies the evolution of materials transitioning from the solid phase to the plasma phase under the effect of an intense radiation pulse
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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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The detection of out-of-distribution (OoD) samples is crucial for deploying deep learning (DL) models in real-world scenarios. OoD samples pose a challenge to DL models as they are not represented