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simulations, optimisation, machine learning and turbulence modeling. The researcher must hold a Phd in fluid mechanics / Applied mathematic / Machine Learning. Website for additional job details https
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, machine learning and turbulence modeling. The researcher must hold a Phd in fluid mechanics / Applied mathematic / Machine Learning. Website for additional job details https://emploi.cnrs.fr/Offres/CDD
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study of turbulent combustion of hydrogen and ammonia at high pressure. The thesis will focus on hydrogen, and will build on previous work carried out at atmospheric pressure by the team. Numerical study
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-Saclay/CentraleSupélec http://em2c.centralesupelec.fr/ ), through its high-level academic research on energy and combustion and its applied studies in partnership with the most prominent companies
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of transportation and energy. Its experimental and numerical modeling activities focus on various complex and multiphysical flows, including turbulence, two-phase flows, combustion, and thermoacoustics. Research
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distances. Fluvial processes such as bedload transport and turbulence generate elastic deformations of the Earth's surface, producing measurable seismic signals. This principle forms the foundation
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of transportation and energy. Its experimental and numerical modeling activities focus on various complex and multiphysical flows, including turbulence, two-phase flows, combustion, and thermoacoustics. Research
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at these scales, what are its characteristics, and its origin. This will be done within the framework of the concept of "solid turbulence" which seems to be quite relevant for characterizing ice pack dynamics