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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The doctoral student will have access to the I2BC's numerous platforms for conducting
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of heat transfer and turbulence physics in wall-bounded flows through numerical simulations, data-driven modelling, and machine learning techniques. Key goals include optimising convective heat transfer
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LanguagesFRENCHLevelBasic Research FieldPhysicsYears of Research Experience1 - 4 Additional Information Eligibility criteria Dual expertise in materials physics and numerical simulation Website for additional job details
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knowledge of numerical methods - knowledge of free-surface flows, granular flows - proven experience in numerical simulation (finite elements, finite volumes, CFD, LES, etc.) - proficiency in basic scientific
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of turbulent combustion models. Particular attention will be given to providing a well-characterized experimental reference case for numerical simulation and model benchmarking. The primary host institution is
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silicon waveguides with a nanometric core. This work will include the development and optimization of simulation tools for the design of these waveguides, combining numerical results with simplified models
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(e.g. Python, MATLAB or equivalents); Interest in applied thermodynamics, numerical simulation and sustainable energy systems. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7274-SILLAS
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-structure interactions using a combination of high-resolution numerical simulations (CFD) and advanced experimental measurements (Stereoscopic PIV). A dedicated test bench will enable full-scale global
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, Applied Mathematics, or a related field. Strong foundation in computational modelling & numerical simulations The laboratory The Decision and Bayesian Computation (DBC) – Epiméthée (EPI) laboratory
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of numerical ice shelf models has recently been developed to study, among other things, the realistic behaviour of the dynamics of a floe assembly, based on a granular approach. The purpose