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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 has
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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
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réduire les performances de lecture et de manipulation des qubits. Intégré à un laboratoire de recherche en conception intégrée, et en particulier au sein de l’équipe quantum computing, vous aurez
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, publication) is expected. Practical information. The candidate must have obtained a PhD thesis within the last three years and have solid experience in scientific computing and its implementation. Expertise
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emerging applications requires low–temperature operation of CMOS transistors, such as spatial applications, high performance computing, high energy physics…, with a temperature of operation below 100K
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-list.github.io/BOP-Distrib/ What do we expect fron you? The internship is research oriented. The chosen candidate will work closely with a PhD candidate. The missions will be the following: • Sim-to
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preparatory work to the PhD that will follow. Contract duration (months) 4 to 6 months Job description Aluminum nitride (AlN) is an UWBG (ultra-wide bandgap) semiconductor that could potentially be used to
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philosophy (PhD) Formation recommandée PhD in engineering or applied mathematics, especially in the field of numerical simulation Possibilité de poursuite en thèse Non Demandeur Disponibilité du poste