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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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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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-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
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coopération • La curiosité Référence 2026-42007 Description de l'unité The French Atomic Energy Commission (CEA) is a key player in research, development, and innovation. Drawing on the widely
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-41610-S2214 Internship Development of a sensor platform for multimodal Camera/RADAR perception assisted by AI H/F Ref. : 2026-42100 Internship Isère (38) Grenoble Legal notices Cookies Configure your cookies Accessibility: partial compliance Sitemap Go to top