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feeds Post-doctorat - Interaction spin-réseau par simulations ab initio et Machine Learning - H/F 195 / 667 vacancy Détail de l'offre Description du poste Domaine Matériaux, physique du solide Contrat
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, signal processing, computer science, applied physics or a related field, preferably with the PhD awarded within the last two years. You have solid experience in machine learning and/or deep learning
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Cell Biology / 3D Imaging of Photosymbiosis (M/F) Statut du poste Cadre Description de l'offre Photosynthetic organisms (microalgae and plants) are in constant interaction with their environment
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characterization (SEC-MALLS, CD, Mössbauer and EPR spectroscopy, BLI (protein-protein interaction)). Conformément aux engagements pris par le CEA en faveur de l'intégration des personnes handicapées
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will take place at CEA Saclay's Orme des Merisiers center, located on the Université Paris-Saclay site, 25 km south of Paris, and easily accessible by public transport. How to apply: Candidates should
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(Bac+8), avec une spécialisation en interaction rayonnement–matière, physique nucléaire et/ou intelligence artificielle. Vous vous distinguez par votre esprit d’analyse et de synthèse, votre
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-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 (laser, X-rays, electrons, ions, etc
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Carlo method, which involves tracking particles through matter based on the deviations they undergo during each interaction. X-ray imaging relies on the contrast created by differences in attenuation
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système acoustique innovant pour l'imagerie et la vélocimétrie ultrason H/F Ref. : 2026-41366 Postdoc Isère (38) Grenoble Post-doctorat - Interaction spin-réseau par simulations ab initio et Machine
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POST-DOC - Instrumentation nucléaire H/F Ref. : 2026-39665 Postdoc Gard (30) Chusclan Post-doctorat - Interaction spin-réseau par simulations ab initio et Machine Learning - H/F Ref. : 2026-41507