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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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sustainable future. Position location Site Grenoble Job location France, Auvergne-Rhône-Alpes Location Grenoble Candidate criteria Recommended training Last year of engineering and/or equivalent masters
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arrays. Applicant Profile You are a final-year Master’s or engineering student specializing in electrical engineering, microelectronics, applied physics or computer science. You are comfortable with
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Scaling analog in-memory computing towards large generative AI models H/F Subject Your work will span device-to-algorithm co-design, focusing on state-of-the-art small language model engineering and
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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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stripping - De participer à des étapes engineering - De tracer l’activité sur le logiciel MES du CEA-LETI. - De rendre compte des résultats de vos travaux aux différentes parties prenantes
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École d'ingénieurs Recommended training Master of Science, Master of Engineering, Master of Research PhD opportunity Non General information Organisation The French Alternative Energies and Atomic Energy
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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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qualifications master student or equivalent (2nd/3rd engineering school year) in computer science and/or machine learning; some knowledge of the Python programming language; ability to work in a team
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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