13 computer-science-"https:" "https:" "https:" "https:" "https:" "NIST" PhD scholarships at CEA
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-manual dexterous setup to reliably solve complex assembly tasks. The following works conducted at the lab will serve as a basis for the internship: https://cea-list.github.io/cotograspweb/ https://cea
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networks. 13th European 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
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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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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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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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gaussian representation meets perception models for bev segmentation. In : 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). IEEE, 2025. p. 2250-2259. [3] KERBL, Bernhard, KOPANAS
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merging for efficient semantic segmentation. In: Proceedings of the 21st International Conference on Computer Vision Theory and Applications (VISAPP), pp. 43–54. (2026). [2] Sassoon, J., Szczepanski, M
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) en master (M1 ou M2) ou en avant-dernière ou dernière année d'école d'ingénieur, en data science, mathématiques appliquées, génie nucléaire ou physique. Solides compétences en data science Bonne
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(transitions de phase, coalescence, fissuration, etc.). Couramment utilisées en science des matériaux, elles sont mises en œuvre dans les outils de calcul scientifique de la plateforme logicielle
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sont vos connaissances en mécanique du solide, en thermique, et en science des matériaux que vous serez amené à utiliser pour le développement d’assemblages hétérogènes de tout type. La connaissance