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feeds Scaling analog in-memory computing towards large generative AI models H/F 192 / 778 vacancy Vacancy details Position description Category Micro and nano technologies Contract Internship Job title
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Computing Devices at CEA-Leti in Grenoble, you will contribute to the development of Bayesian learning methods suited to resistive memories (ReRAM). You will build on the team’s previous work, which has
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équipe et bonne humeur ; Vous avez une première expérience dans une infrastructure IT distribuée et complexe de type HPC ou cloud computing (formation en alternance, expérience professionnelle) ; Vous
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, publication) is expected. Practical information. The candidate must have obtained a PhD thesis within the last three years and have solid experience in scientific computing and its implementation. Expertise
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environment. A PhD opportunity in related topics will be open in September 2027, which you can apply for during your internship. Position location Site Grenoble Job location France, Auvergne-Rhône
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is designed as a first step before a PhD. Bibliography [1] J. Mérand, B. Meden, L. Chen, and M. Grossard, “GOAG: Generative and object-agnostic grasp planner for dexterous robotic manipulation,” in
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social media features; For more information you can read our Cookie Policy . You can change your cookie preferences at any time by selecting “Configure your cookies” at the bottom of the page or in
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philosophy (PhD) Formation recommandée PhD in engineering or applied mathematics, especially in the field of numerical simulation Possibilité de poursuite en thèse Non Demandeur Disponibilité du poste