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As part of its software suite provided to its clients, Cegid and its partners use cookies on this website to: Provide the basic functions of the website; Obtain audience insights; Allow users to use
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. Within the Institute—specifically within the Department of Ambient Intelligence and Interactive Systems (DIASI)—the Vision for Modeling and Localization Laboratory (LVML) conducts research in computer
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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
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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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Postdoc – Advanced characterization of the stability of tandem photovoltaic cells under illumination
As part of its software suite provided to its clients, Cegid and its partners use cookies on this website to: Provide the basic functions of the website; Obtain audience insights; Allow users to use
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As part of its software suite provided to its clients, Cegid and its partners use cookies on this website to: Provide the basic functions of the website; Obtain audience insights; Allow users to use
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As part of its software suite provided to its clients, Cegid and its partners use cookies on this website to: Provide the basic functions of the website; Obtain audience insights; Allow users to use
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collaborative projects with a large number of academic and industrial partners. The CEA is established in ten centers spread throughout France Reference 2026-41991 Description de l'unité Within the Institute
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of engineering school or Master 2 Desired skills : A strong motivation to learn and contribute to research in artificial intelligence. In-depth knowledge of computer science and programming languages
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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