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6 Dec 2025 Job Information Organisation/Company CNRS Department Laboratoire univers et particules de Montpellier Research Field Physics Researcher Profile First Stage Researcher (R1) Country France
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with an international reputation for excellence. The Department has a substantial research programme, with major funding from Medical Research Council (MRC), Wellcome Trust and National Institute
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Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Pediatric Clinical Behavioral Neuroscience- Birth to Three Program Our fellowship program aims to prepare postdoctoral
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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | 3 days ago
5 Dec 2025 Job Information Organisation/Company Inria, the French national research institute for the digital sciences Research Field Computer science Researcher Profile Recognised Researcher (R2
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physical environments. This position focuses on research at the intersection of computer graphics, generative AI, and robotics, encompassing topics such as generative modeling, reinforcement learning, multi
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6 Dec 2025 Job Information Organisation/Company CNRS Department Institut de Chimie de Nice Research Field Chemistry » Physical chemistry Chemistry » Computational chemistry Researcher Profile
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, France [map ] Subject Areas: Machine Learning / Machine Learning Statistics Probability Mathematics Statistical Physics Appl Deadline: 2025/12/20 11:59PM (posted 2025/11/25, listed until 2026/05/25
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& Health Informatics. Contact details:Prof Vicky Slonims. Vicky.slonims@nhs.net Location: St Thomas' Campus (Becket House). Category: Research. About us: Applications are invited for a Research Assistant
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5 Dec 2025 Job Information Organisation/Company CNRS Department Laboratoire Rhéologie et Procédés Research Field Engineering Chemistry Physics Researcher Profile First Stage Researcher (R1) Country
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project include two aspects: (1) based on the cutting-edge technologies from deep learning, computer vision or physics-informed machine learning, develop robust surrogate forward models to predict