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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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                simulations with the Elmer/Ice model, actively participate in the analysis of multi-model results, and strengthen the visibility of the French contribution within the international effort. 3. Explore extreme 
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                Inria, the French national research institute for the digital sciences | Villeurbanne, Rhone Alpes | France | 2 months agoarithmetic cores for FPGAs). The team hosts 6 faculty, 6 PhD students, 3 postdocs, 2 engineer, and multiple research interns. Additional information can be found on team website: https://team.inria.fr/emeraude 
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