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GIF CDT: CFD modelling of hydrogen and blends combustion and emissions Green Industrial Futures Centre for Doctoral Training (GIF CDT) PhD Research Project Directly Funded Students Worldwide Prof
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for flue gas treatment emissions control in waste-to-energy and biomass combustion plants. This project will explore Computational Fluid Dynamics (CFD) methodologies for optimising filter cleaning processes
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be an advantage. Experience of applying OpenFOAM and High Performance Computing (HPC) in the context of CFD would be beneficial. How to apply Interested applicants should contact Prof Ling Qian
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Exciting Funded PhD Project: CFD Modelling of Seals for High-Pressure, Low-Carbon Storage Technologies - Help Shape the Future of Clean Energy Storage! Department of Mechanical Engineering PhD
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CFD modelling of seals for high-pressure, low-carbon storage technologies Department of Mechanical Engineering PhD Research Project Directly Funded Students Worldwide Dr Marco Colombo Application
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should have (or about to receive) a degree in engineering, physics or applied mathematics that is at least a UK 2:1 honours grade or its international equivalents. Previous experience with coding and CFD
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Applications are invited for one funded 3.5-year PhD studentship for the project titled “High-fidelity CFD and data-driven modelling of aerodynamic noise sources” in the research group of Dr Zhong
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This project is part of a multi-institutional European consortium: REFINE - From solar energy to fuel: A holistic artificial photosynthesis platform to produce viable solar fuels. The project will be based at the Department of Chemical Engineering, School of Aeronautical Automotive Chemical and...
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Are you interested in pursuing a PhD in Computational Fluid Dynamics (CFD) at the University of Edinburgh? We are currently looking to recruit a talented, hardworking, and passionate PhD student
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paramount significance. The novel “Immersed Large Eddy Simulation” (ILES) approach developed will include two main parts: the combination of IB into a CFD solver with a dynamically adaptive grid, and a deep