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the umbrella of the CNRS and the University of Paris-Saclay. The laboratory's research focuses on nuclear physics, high-energy physics, astroparticles and cosmology, theoretical physics, accelerators and
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turbulent plasmas and by phenomenological models. The overarching goal of this ambitious programme is to describe the acceleration process across length scales, in the turbulent flow, in the inner jet and in
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Accelerator Laboratory (LAL), and the Laboratory of Theoretical Physics (LPT). The laboratory's research topics include nuclear physics, high-energy physics, astroparticles and cosmology, theoretical physics
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emerging models by collaboratively exploring various computation models leveraging physical devices properties. This PhD work will focus on FPGA devices in order to build an accelerated spiking neural
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of Higher Education and Research (MESR). PINNACLE: Physics-Informed Neural Networks for Accelerated Cloud Light-Scattering Emulation Artificial intelligence is profoundly transforming atmospheric
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25 Oct 2025 Job Information Organisation/Company CNRS Department Laboratoire Interdisciplinaire Carnot de Bourgogne Research Field Engineering » Materials engineering Physics » Acoustics Researcher
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architectures. Application domains include, among others: meteorology, climatology, aeronautics, automotive, astrophysics, high-energy physics, materials science, energy production and management, biology, and
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fundamental understanding of climate change and its impacts, extending to the development of prototype climate services co-designed by stakeholders and climate modeling experts. The goal is to accelerate
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Inria, the French national research institute for the digital sciences | Villeurbanne, Rhone Alpes | France | 2 months ago
Emeraude INRIA/INSA-Lyon research team which is physically based at the CITI Lab of INSA-Lyon (Villeurbanne, France). This PhD will be conducted under the supervision of Romain Michon (Inria) and Pierre
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) and the process simulator, and accelerated by the use of metamodels. The search space could also be statistically preconditioned using advanced Monte Carlo techniques developed by other partners