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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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-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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document). [1] https://cyber.gouv.fr Durée du contrat (en mois) 5 to 6 months Description de l'offre The objective of this internship is to show how the LLM approach modifies the traditional approach using
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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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, August). ExaNBody: A HPC framework for n-body applications. In European Conference on Parallel Processing (pp. 342-354). [2] https://github.com/MarcJos/Merope [3] https://github.com/MarcJos/RSA_MPI
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/Computer Vision pour analyser les images radioscopiques d'un mélange triphasique. Stage M2 de traitement et d'analyse d'images issues de radioscopies X de mélanges triphasiques. Mise en œuvre de méthodes de
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publication about this benchmark. # Cea List Moyens / Méthodes / Logiciels AI, Deep Neural Network, Computer Vision, Human behavior analysis Profil du candidat Profile - Students in their 4th or 5th year
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automatic and randomly queried baselines This internship offers an introduction to research in machine learning and computer vision. Depending on the results, it may lead to a scientific publication and may
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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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-Computer Interfaces (BCI). The goal is to optimize communication architectures that minimize thermal dissipation, reduce radio interference, and achieve high data rates. This work aims to create more