855 parallel-computing-numerical-methods "Institute of Computer Science" positions at CEA
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a PhD in computer science, electrical engineering, embedded systems, or a related field. Strong candidates will have experience in one or more of the following areas: hardware security and fault
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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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energy-efficient adaptation on analog AI hardware. Contract duration (months) 4 to 6 Job description Within CEA-Leti’s Laboratory of Memory and Computing Devices in Grenoble, you will work on the
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use cases exist, some of which are critical for industrial sovereignty. The CEA aims to develop numerical tools for neutron imaging applied to NDT, with a long-term ambition to support the
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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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qualifications master student or equivalent (2nd/3rd engineering school year) in computer science and/or machine learning; some knowledge of the Python programming language; ability to work in a team
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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 systems. The
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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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SVOM mission is complemented by a ground segment for science operations, which includes a dedicated suite of robotic telescopes. For more information about SVOM, visit www.svom.eu. As part of the SVOM
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