37 Computer-Science-"https:"-"Data-driven-Materials-Modeling"-"https:" PhD positions at CEA
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Physics, Applied Mathematics, or Computer Science, with experience in deep generative models (VAE, diffusion) and Python/PyTorch. Applications from statistical physicists are welcome. STILL HESITATING
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!), used in future quantum computer or spatial radio astronomy applications This internship provides an opportunity to improve our understanding of reliability physics at cryogenic temperature, and to offer
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. Within the Institute—specifically within the Department of Ambient Intelligence and Interactive Systems (DIASI)—the Vision for Modeling and Localization Laboratory (LVML) conducts research in computer
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of real-world demonstrations, making modular, perception-driven pipelines a highly promising alternative for complex manipulation. This internship bridges the gap between state-of-the-art generative
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A recognized work-life balance environment A diversity and inclusion policy Corporate catering Applicant Profile With a background in computer science and AI or electronics, you are a problem solver
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: Master's (M2) or engineering-school student in machine learning, applied mathematics or computer science Strong linear algebra; probability and optimization are a plus Solid Python and PyTorch Care in
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. Moyens / Méthodes / Logiciels Python, Matlab, SPECTRA Profil du candidat Vous préparez un Bac+5 (Diplôme École d'Ingénieurs, master 2 ou équivalents) en computer vision, data science, IA, traitement du
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-technologie sous https://www.youtube.com/watch?v=-89ypv7E340 You may be interested in these vacancies CDD 36mois - Ingénieur Caractérisation électrique de transistors CMOS H/F Ref. : 2026-41311 Fixed
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Congress of Embedded Real Time Systems (ERTS 2026) , 2026. ⟨10.82331/ERTS.2026.42⟩. ⟨hal-05513843⟩ [2] Eclipse Aidge. https://eclipse.dev/aidge/ [3] Projet DeepGreen - https://deepgreen.ai/ [4] Projet
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arrays. Applicant Profile You are a final-year Master’s or engineering student specializing in electrical engineering, microelectronics, applied physics or computer science. You are comfortable with