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mathematical models using a reasonable number of physical variables; (2) the observations of extreme weather events used in the learning bases of DNNs are much rarer than those of standard events. This induces a
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and turbulence gradients in wind tunnels; and new insights for modelling particle-laden turbulent flows in realistic non-homogeneous environments. Location: The PhD will take place at LMFL lab in
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(USMB). Its scientific activities span cosmology and astroparticle physics, particle physics, and mathematical physics. The Astroparticle and Cosmology group (https://astrocosmolapth.com ) conducts
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mathematics Engineering » Mechanical engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 1 Apr 2026 - 12:00 (Europe/Paris) Country France Type of Contract
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numerical approach The PhD is part of a Franco-German co-funded project between IFP Energies Nouvelles (IFPEN) at Lyon and the Hamburg University of Technology (TUHH), focusing on the modelling of gas/liquid
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PP12 - Mathematical modelling and cross species validation of a unified omic framework for muscle function Université Grenoble Alpes, Grenoble, France PP13 - Combined Magnetic Resonance and X-ray phase
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. The PhD (M/F), to be recruited in the context of the ERC StG MULTI-viewCELL, will be working on the development of a new method combining machine learning and biophysical modelling to model embryo
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10 Apr 2026 Job Information Organisation/Company CNRS Department Laboratoire Interdisciplinaire des Environnements Continentaux Research Field Mathematics History » History of science Researcher
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research in Artificial Intelligence and its ethical, frugal, and sustainable dimensions? Do you have a PhD and a solid experience in research or R&D in AI, with a specific interest in designing models
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combining machine learning and biophysical modelling to model embryo development from spatial transcriptomics data. Activities : - design of a new mathematical method - monitoring and study of publications