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support for process development from laboratory to pilot to demonstration scale Working with a wide range of simulation tools such as CFD, numerial optimisation and artificial intelligence Topic-independent
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be compared and calibrated. In-silico technique based on Computational Fluid Dynamics (CFD) will also be developed to provide further information necessary for the development of new MRI image scanning
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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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applied physics other related disciplines. Demonstrated knowledge in at least one of the following areas: porous media flow computational fluid dynamics (CFD) pore-network modelling lattice Boltzmann method
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studentships are available. You will develop expertise in cutting-edge laser diagnostics or direct numerical simulation (CFD) for turbulence research. You will become expert in turbulent flow physics and will
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dynamics (CFD) will be developed and coupled with the existing model to account for melt pool dynamics to include advection in the thermal modeling and to predict porosities and imperfection trajectories in
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commissioning of experimental hardware Running and processing concept geometries Comparison with CFD or other low-order design methods Determining underlying three-dimensional flow mechanisms Writing research
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condensation, freezing, and particle populations in the evolving plume. The project includes close interaction with numerical simulations, enabling quantitative comparison between experiment and CFD and
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that can inform future CFD studies, experimental work, and clinical interpretation. The PhD candidate will be supported by an interdisciplinary supervisory and research team with expertise spanning
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Dynamics (CFD) and data-driven methods for aerodynamics and aeroacoustics with primary application in aerospace engineering. The PhD project is expected to start in September 2026 (but the time can be