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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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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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. You will assess their performance and the constraints associated with hardware implementation. Depending on progress, the approach may then be evaluated using experimental data or existing memory
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implementation of a sensor platform composed of a camera and an FMCW RADAR. This sensor platform aims to produce a multimodal dataset combining RADAR and camera data. In various fields such as autonomous driving
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of computing parameters, increasing the memory resources required for their acceleration as well as exacerbating the criticality of data movement within the system on both energy efficiency and
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) en master (M1 ou M2) ou en avant-dernière ou dernière année d'école d'ingénieur, en data science, mathématiques appliquées, génie nucléaire ou physique. Solides compétences en data science Bonne
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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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. Moyens / Méthodes / Logiciels Python, Matlab, SPECTRA Profil du candidat Vous préparez un Bac+5 (Diplôme École d'Ingénieurs, master 2 ou équivalents) en computer vision, data science, IA, traitement du
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interested in these vacancies Ingénieur Data Architect - Matériaux Nucléaires - Conception Base de Données Ref. : 2026-40071 Fixed-term contract Gard (30) Bagnols-Sur-Cèze Ingénieur de recherche et de
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en Œuvre de l'Outil XDMoD H/F Sujet de stage Le sujet du stage portera sur l'étude, la spécification et la mise en œuvre de l'outil XDMoD (eXtreme Data Management and Operations) sur nos deux