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; PyTorch; parallel and GPU computing Applicant Profile The internship is intended for a final-year Master’s student or engineering student specialising in applied mathematics, signal processing or
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and sufficient. Assigning meaning to prototypes is however a time-consuming task, as the various models tend to learn prototypes that do not carry sufficiently high-level meaning. A parallel line of
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, parallel research axes: pushing model accuracy on systems of several thousand atoms with an IWAE architecture; equipping it with the ability to quantify its own uncertainty — a prerequisite for any use
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programming and applied mathematics, and interested in neural networks and their hardware implementation. Some experience in machine learning would be an asset. Prior knowledge of emerging memory
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could be the subject of a scientific publication. Applicant Profile Programming languages: Python, C/C++ Knowledge of artificial intelligence and the PyTorch framework Experience in using sensors
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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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-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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de la sécurité contre les actes de malveillance (SESAM). Si vous aimez relever les défis, venez construire avec nous la nouvelle DEND ! Site : https://www.dend.fr/ You may be interested in these
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-technologie sous https://www.youtube.com/watch?v=-89ypv7E340 You may be interested in these vacancies CDD 36mois - Ingénieur Caractérisation électrique de transistors CMOS H/F Ref. : 2026-41311 Fixed