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feeds Adaptive Learning for Transformers with ReRAM Analog In-Memory Computing 152 / 767 vacancy Vacancy details Position description Category Miscellaneous Contract Internship Job title Adaptive
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feeds Stage : Étude et Mise en Œuvre de l'Outil VMware Cloud Foundation Operations (vROPS) H/F 170 / 789 vacancy Détail de l'offre Description du poste Domaine Systèmes d'information Contrat Stage
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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
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Technology Integration (LIST), located in the southern Île-de-France region (Saclay), has the mission of contributing to technology transfer and promoting innovation in the field of parallel computing
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!), used in future quantum computer or spatial radio astronomy applications This internship provides an opportunity to improve our understanding of reliability physics at cryogenic temperature, and to offer
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, signal processing, computer science, applied physics or a related field, preferably with the PhD awarded within the last two years. You have solid experience in machine learning and/or deep learning
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computing circuit architecture Contract duration (months) 5 to 6 months Job description Context: As part of our ASIC design activities, we are developing an embedded computing platform based on a RISC
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workspace learning,” in European Conference on Computer Vision, 2026. [3] A. Brazi, B. Meden, F. M. de Chamisso, S. Bourgeois, and V. Lepetit, “Corr2distrib: Making ambiguous correspondences an ally to
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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