124 linked-data-"https:"-"https:"-"https:"-"https:"-"https:"-"Computer-Vision-Center" positions at CEA
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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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feeds STAGE - Data Analyst et reporting H/F 33 / 456 vacancy Détail de l'offre Description du poste Domaine Administration d'entreprise et communication Contrat Stage Intitulé de l'offre STAGE - Data
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feeds Data scientist en modélisation numérique de l'atmosphère H/F 20 / 720 vacancy Détail de l'offre Description du poste Domaine Sciences du climat et de l'environnement Contrat CDD Intitulé de
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feeds Ingénieur Data Architect - Matériaux Nucléaires - Conception Base de Données 94 / 723 vacancy Détail de l'offre Description du poste Domaine Matériaux, physique du solide Contrat CDD Intitulé de
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workspace learning,” in European Conference on Computer Vision, 2026. [3] A. Brazi, B. Meden, F. M. de Chamisso, S. Bourgeois, and V. Lepetit, “Corr2distrib: Making ambiguous correspondences an ally to
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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
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Conference on Computer Vision and Pattern Recognition (CVPR), 2016. [8] TorchVision / PyTorch documentation, ResNet-18 and ResNet-50 Model Architectures. [9] Ultralytics, YOLOv8 Real-Time Object Detection
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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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les connaissances d'un modèle de vision fondé sur un Transformer (ViT, Swin) vers un réseau convolutif compact (ResNet, MobileNet). Le stage portera notamment sur l'alignement des représentations
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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