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grands défis sociétaux. Description de l'unité L'unité mixte de recherche Biosciences et bioingénierie pour la santé (BGE) (CEA, Inserm, UGA) (https://www.bge-lab.fr/) conduit des recherches en
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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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Intership Agentic Multimodal AI for Understanding and Reasoning over Complex Technical Documents-H/F
- Computer vision skills - Machine learning skills (deep learning, perception models, generative AI…) - Python proficiency in a deep learning framework (especially TensorFlow or PyTorch) Localisation du poste
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degree or Engineering diploma Required Skills: Familiarity with AI, knowledge of computer architecture, proficiency in Python and C/C++, and experience with Git Other Qualities
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, knowledge of computer architecture, proficiency in Python and C/C++, and experience with Git Other Qualities: Collaborative mindset and a genuine curiosity Localisation du poste Site Saclay Localisation
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in computer science, knowledge of critical embedded software; formal methods PhD opportunity Oui Requester Position start date 01/03/2026 General information Organisation The French Alternative
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computer vision). - Maîtrise de la programmation en Python et des frameworks comme PyTorch ou TensorFlow. - Expérience (un plus) avec des modèles de segmentation (YOLO, U-Net, etc.). Conformément aux
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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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for the numerical caluclation of hydrodynamic shocks, Journal of Applied Physics (1950) 232-237 [2] : D. J. Benson, Computational methods in Lagrangian and Eulerian hydrocodes, Computer methods in