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. The role of the young researcher will be to implement an automated identification tray for a black box EMC model, with the doctoral student implementing the model validation simulations in a system
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funded and carried out within the framework of the IMITATION project (TIRIS Scaling-up, ANR PIA4 France 2030). Additional information Desired profile: The candidate must hold an engineering degree and/or a
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that these different strategies, involving varying degrees of risk-taking, coexist to optimize resource exploitation while reducing the level of competition among conspecifics. Although the ability to imitate and even
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adverse events in the operating room. An existing multi-agent simulator is already in place, but this thesis aims to improve it in several ways. The first improvement involves establishing a connection
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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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matrix could better resist to fire than the ordinary concretes [9,10], however no numerical simulation has been carried out to confirm. Description of the work: The PhD thesis includes two phases
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programme aims to advance fundamental understanding of heat transfer and turbulence physics in wall-bounded flows through numerical simulations, data-driven modelling, and machine learning techniques. Key
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to inform and enhance reactive flow simulators, ultimately contributing to a better understanding of the impacts of dissolved CO2 on fluid flow dynamics and rock reactivity at larger scales within
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mostly focus on the WP1 of the MULTI-STEP project lying on atomic scale simulations. The main objective of this WP is to provide deviatoric stress-dependant phase diagram for both titanium and silica. In
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property simulations of ammonia–hydrogen mixtures. It will leverage multiphysics Direct Numerical Simulations (DNS) with detailed chemical kinetics and coupled thermal radiation to improve chemical