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Profil du candidat Currently enrolled in your final year of a Master's program (M2) or an Engineering School (including gap year students). Strong skills in computer vision and machine learning
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used to evaluate hydrogen retention and outgassing for typical WEST and ITER scenarios. Moyens / Méthodes / Logiciels PYTHON Profil du candidat The candidate needs to be trained in materials science
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Profile Master 2 in materials science, physics or equivalent, with programming skills. Position location Site Grenoble Job location France Location Grenoble Candidate criteria Prepared diploma Bac+5
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- Master of Science PhD opportunity Oui Requester Position start date 01/03/2027 General information Organisation The French Alternative Energies and Atomic Energy Commission (CEA) is a key player in
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connaissances allant de la science des matériaux et des surfaces au développement de capteurs et de microsystèmes, métrologie, analyse de données, simulation et mise en œuvre de systèmes. You may be
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Critères candidat Langues Français (Courant) Diplôme préparé Bac+5 - Diplôme École d'ingénieurs Formation recommandée Mécanique et science des matériaux Possibilité de poursuite en thèse Oui Demandeur
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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
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Optimize the recycling of critical metals: simulation and X-ray spectroscopy for intelligent sorting
science. This internship represents an excellent opportunity for professional growth, both in terms of technical knowledge (spectroscopy, simulation, artificial intelligence) and cross-functional
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, “Physics-Informed Super-Resolved Ultrasonic Imaging,” 11th Junior Conference on Data Science and Engineering, 2026 [ Online ]. # Cea-List Methods / Means FMC ultrasonic data; Algorithm unrolling
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feeds Internship in Artificial Intelligence-Saclay- H/F 118 / 839 vacancy Vacancy details Position description Category Engineering science Contract Internship Job title Internship in Artificial