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4 Jul 2026 Job Information Organisation/Company CNRS Department Centre de Nanosciences et de Nanotechnologies Research Field Engineering Physics Technology Researcher Profile First Stage Researcher
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11 Jul 2026 Job Information Organisation/Company CNRS Department Institut de Chimie et Procédés pour l'Energie, l'Environnement et la Santé Research Field Chemistry Physics Technology Researcher
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18 Jun 2026 Job Information Organisation/Company CNRS Department Laboratoire lorrain de recherche en informatique et ses applications Research Field Physics Researcher Profile First Stage Researcher
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 2 months ago
expressions, mouthing, spatial organization, and timing. Automatic translation from sign language videos into written text therefore requires modelling complex visual and temporal information, rather than
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Description IPREM institute is a joint research unit (UMR 5254) CNRS and Université de Pau et des Pays de l'Adour (UPPA). Research activities focus on the development of fundamental knowledge in physical
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. Lathuillière. The project is highly interdisciplinary, combining nuclear physics, radiation chemistry of materials, corrosion science, and theoretical modeling. This work fits within the internationally
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 3 months ago
computation time, and a complex design. To solve these issues, we propose to follow an original approach where the robot is seen as the assembly of modular limbs, each one having its own sensors, actuators and
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complex is a lineage-specific master regulator of the germinal center B-cell program, driving both autoimmune pathologies and aggressive B-cell malignancies. Funded by the LABEX IMMUNE from NEXT/Nantes
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databases for aquatic invertebrate communities, prioritizing EPT taxa and, more specifically, caddisflies (Trichoptera) — a taxonomically complex group that is insufficiently represented in public databases
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deep circularity—such as designing for AI-driven human-robot disassembly, comprehensive remanufacturing, and high-purity recycling—is still perceived as cost-prohibitive, complex, and high-risk by