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, the successful candidate will carry out research relevant to the research project HiPOVor: Modelling of high-power vortex induced turbulence in free-space and fluid dynamic based optical propagation modelling
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are invited for a fully-funded Industrial Doctoral Landscape Award, offered in partnership with Rolls-Royce, to tackle key challenges in the design of aeroengine oil systems using multiphase Computational Fluid
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multiphase Computational Fluid Dynamics (CFD). This is an exciting opportunity to contribute to cutting-edge research that supports the next generation of sustainable aeroengines. The successful candidate
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EPSRC ReNU+ CDT PhD Studentship: Representative Elementary Volume fluid dynamic modelling for sedimentary geothermal production Award Summary 100% fees covered, and a minimum tax-free annual living
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simulation, thermodynamics, or computational fluid dynamics is desirable. For informal enquiries please contact, Prof Vahid Niasar - vahid.niasar@manchester.ac.uk . We strongly recommend that you carefully
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, fluid flow, and solute transport. Develop efficient computational coupling strategies to integrate these physical processes. Apply advanced numerical methods to construct dendrite growth models, including
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closely related area. Experience with computational fluid dynamics, ideally DNS/LES, and confidence working with large‑scale simulations. Solid programming skills in languages commonly used for scientific
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will focus on the development and application of computational fluid dynamics (CFD), multiphysics modelling, and AI-driven optimisation for RAM systems. These approaches will be used to better understand
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will develop an integrated framework combining computational fluid dynamics (CFD) with quantum gas LiDAR measurements to improve the quantification of methane emissions. The central research question is
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fluid dynamics and/or magnetohydrodynamics, in addition to excellent numerical skills. The post-holder will also play a key role in the dissemination of the results from this project, so excellent verbal