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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
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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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Scientific Reports, already cutting computational cost by more than two orders of magnitude (22,282 CPU hours down to 85 on a test case). With no known equivalent in the international literature, PULSE
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validated. In parallel, CEA-List has developed µArchiFI [3-4], a formal framework enabling pre-silicon analysis of fault injection effects at RTL level, from hardware implementation details up to software
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with a high pulse power device. Another study intends to develop non-thermal electrons distribution which is of trendemous importance for UHI experiments. Durée du contrat (en mois) 2 ans + 2 x 1an
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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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phase-field models require the underlying free-energy density as an input. This internship aims to compute that free-energy landscape from first principles and transfer it to continuum electrode models
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Domaine Physique corpusculaire et cosmos Contrat Post-doctorat Intitulé de l'offre Development and Exploitation of a Poloidal Correlation Reflectometer for Turbulence Studies H/F Sujet de stage Development of a poloidal correlation reflectometer and investigation of plasma turbulence dynamics...
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is not. To do so, the candidate will come on board the Manta project [3], which is the framework of the nextgen finite element software for computational mechanics at CEA, and the “Laboratoire d’Etudes