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conducted using high-fidelity CFD model such as Large-Eddy Simulation (LES). The work will include simulation of shallow boundary layer flows such as atmospheric flows with differing thermal stability and of
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. We are expanding our team with ambitious, driven, creative problem solvers and doers who are excited about tackling a challenge and delivering a new product to market. As a CFD Engineer, you will
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collaborators. Under this job title, you will develop a CFD modelling platform to evaluate the combustion, flammable and toxic gases emission and dispersion characteristics resulted from battery fires/thermal
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to capture experimentally due to the small scales and opacity of the matrix. Consequently, computational fluid dynamics (CFD) is the best approach for improving these burners. This PhD aims to investigate NH3
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develop computational fluid dynamic (CFD) tools that make exascale computing accessible to a broader set of users. The successful candidate will develop a massively parallel solver, capable of running
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innovative tools combining high-fidelity simulations based on a Lattice Boltzmann Method (LBM) CFD code with advanced data assimilation techniques, notably the Ensemble Kalman Filter (EnKF). By integrating
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developing discrete element models (DEM) or hybrid models, such as DEM-CFD or DEM-SPH, is essential. For this position, a doctoral degree in a relevant discipline is required, although candidates nearing
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Offer Description Completion of doctoral thesis related to: - Modelling of the geometry for the simulation of the detectors - Meshing of the geometry - CFD simulation - Analysis of the results
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The work involves extending CatalyticFOAM, a reactive CFD framework, for
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the engineering development and validation programme, bringing hands-on capability in 3D CAD and CFD modelling to support design iteration and to undertake aerodynamic and heat-transfer assessments