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their effect on the network's outputs, and that predict in closed form what rounding low-rank factors costs. Durée du contrat (en mois) 6 mois Description de l'offre As an intern at the CEA, you will have the
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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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to a continuous latent space within a CEA consortium combining nuclear physics and AI. Durée du contrat (en mois) 24 Description de l'offre How do you predict a material's properties when the number
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of computer science and programming languages (Python). Knowledge of artificial intelligence and experience with artificial neural networks (libraries Pytorch or Tensorflow) are a plus. The recruitment interview may
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, equipped with pulsed plasma technology and located in the CEA/Leti cleanroom facilities. The candidate will also have access to a wide range of material characterization techniques. The work will involve: 1
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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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) and CosmoStat at CEA Paris-Saclay, with a view to developing cosmological inference methods based on forward modelling for the analysis of the LSST survey from the Vera C. Rubin Observatory. To exploit
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performance analysis in a fully virtualized environment. These tools integrate QEMU-based emulation, external models, and a Python API for performance data extraction during application execution. A-DECA
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languages commonly used in the scientific environment (especially R, Python) would be an asset. Most of the work will be carried out in the laboratory at the LAPA facilities on the CEA Saclay site. Field
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the supervision of Master's students and interns when appropriate. It is allowed one day of home office per week (flexible) The position is based at the SyMMES Laboratory (CNRS UMR 5819 – CEA – Université Grenoble