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Job description The exponential increase of computational power over the last decade has enabled scale-resolving simulations (SRS) of turbulent flows at an unprecedented resolution. In combination
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of industrial high-temperature processes with potential for negative carbon emissions. PhD student in the field of numerical simulation of plasma-based methane decomposition Your tasks Setup of Computational
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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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of Computational Fluid Dynamics CFD environment and simulations including: - Computation of the microwave field, Coupling of the microwave field with the plasma - Computation of elementary ionization, recombination
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, data-driven methods for meshfree simulation directly on large-scale LiDAR point clouds. Job description Accurate urban wind simulations are vital for understanding microclimate, urban heat, and pollutant
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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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We are seeking a talented and motivated Postdoctoral Research Associate (PDRA) to join the Energy and Power Research Group for a 12-month appointment to develop, implement and test a numerical model for arcs in vacuum circuit breakers. This project is conducted in partnership with an...
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-fidelity industrial simulation. Engineering applications include Formula 1, turbomachinery and nuclear fusion. These problems exhibit complex geometries and challenging time-varying physics which require
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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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interdisciplinary PhD projects in the Simulation and Data Lab Digital Bioeconomy. Each project combines natural sciences with computational and data-driven approaches, focusing on topics such as plant carbon