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://www.i3s.univ-cotedazur.fr ) is a joint research unit between the CNRS and the Université Côte d'Azur with Inria as secondary regulatory authority. i3S was one of the first laboratories to be established in
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the MARIANNE team at the I3S Laboratory (Laboratory of Computer Science, Signals, and Systems in Sophia Antipolis) of the CNRS and Université Côte d'Azur. The team is based at the Inria Center at Université Côte
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for Scientific Research), Grenoble-INP (Grenoble Institute of Technology), and the University of Grenoble, affiliated with Inria (French National Institute for Research in Digital Science and Technology) and the
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their influence on climate. The team also has extensive expertise in the development of numerical and statistical models. The Inria AIRSEA project team at LJK develops mathematical and numerical methods
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, these methods remain restricted to specific polymers and low level of parallelization. Our transdisciplinary consortium of 3 laboratories (Ingénierie des Matériaux Polymères, Lyon; Laboratoire de Physique ENS de
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operating currents and conductors composed of multiple REBCO tapes in parallel. It is therefore necessary to develop experimental and numerical study capabilities for quench dynamics in REBCO conductors and
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et al., 2022; Jomelli et al., 2022, 2024). In parallel, glaciological studies conducted in recent years across the entire mountain range reveal strong spatial variability in surface mass balance (SMB
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; Assessing the potential influence of microbial activity through parallel incubations under biologically minimized and biologically stimulated conditions. Where to apply Website https://emploi.cnrs.fr/Offres
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macrophages recognize, deform and internalize microplastics and other microparticles. In parallel, the project will incorporate a design-driven research perspective exploring how forms, objects, images and
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framework, covering a wide spectrum from RANS approaches to high-fidelity LES with automatic mesh adaptation. In parallel, recent work has led to the development of multi-fidelity modeling strategies