32 learning-"https:" "https:" "https:" "https:" "https:" "https:" positions at CNRS in France
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grant starting at the end of 2026. The research conducted by the team is broadly framed within the theoretical framework of reinforcement learning, with the aim of developing a multi-scale
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language processing. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR8554-YAILAK-003/Default.aspx Requirements Research Field Language sciences Education Level PhD or equivalent Research
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will investigate out-of-equilibrium dynamics in high-dimensional disordered systems (including models relevant to machine learning and optimization) by characterizing the fixed points (metastable
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expertise in developing computational models and machine learning methods, as well as experience in repertoire data analysis. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR8023
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algorithmic approaches and be conducted in the context of wireless networks, the Internet of Things (IoT), distributed learning, or edge computing infrastructures. The research topics may include, the
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ergonomics, and offers strong expertise in cognitive control, learning and decision-making, experimental research and quantitative approaches. CLLE has around 205 members and the position will be hosted in
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reflects situated positions. The PhD is funded by the ERC CoG PANDORA (Deep Multimodal Learning for Mining and Generation of Arguments). Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant
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-of-the-art Pt-Ru will proceed in stages: beginning with foundational machine-learning potentials such as NequIP, MACE, SevenNet, or Orb-V3, followed by progressive validation of predictions via DFT
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missions operated by LATMOS. The postdoc will employ deep learning approaches using satellite data and ground stations. -Understanding the infrared data from the IASI mission and identifying the
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and DFT databases, and may collaborate with experimental groups to validate numerical predictions. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR8023-MARBOC-002/Default.aspx Requirements