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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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feeds Post-doctorat - HED models development into the ESTHER code and experimental applications - H/F 187 / 668 vacancy Détail de l'offre Description du poste Domaine Physique du noyau, atome, molécule
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feeds Development of a sensor platform for multimodal Camera/RADAR perception assisted by AI H/F 169 / 815 vacancy Vacancy details Position description Category Mathematics, information, scientific
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will initially focus on algorithm development and simulation. Starting from reference methods, you will evaluate different strategies and progressively incorporate realistic ReRAM device characteristics
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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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the understanding of reliability physics, and optimizing their potential down to deep cryogenic temperature. [1] https://irtnanoelec.fr/programme/q-loop-preparer-le-controle-commande-de-lordinateur
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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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Congress of Embedded Real Time Systems (ERTS 2026) , 2026. ⟨10.82331/ERTS.2026.42⟩. ⟨hal-05513843⟩ [2] Eclipse Aidge. https://eclipse.dev/aidge/ [3] Projet DeepGreen - https://deepgreen.ai/ [4] Projet
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-based power electronics devices Subject The internship will deal with the development of AlN-based power devices. It will cover electrical measurements, modeling and TCAD and can constitute the
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researcher will be based). Within this collaborative project, the postdoctoral researcher will contribute to the project as a whole and will focus on the following activities. Development of a dedicated