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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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Engineering, or a related discipline - Solid understanding of fluid dynamics and/or electromagnetism - Programming experience (preferably Python) - Interest in machine learning and scientific computing
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-phase species (e.g., laser-based imaging diagnostics, setup of model reactors, modeling of underlying reactions, multiscale simulation of reactive fluids, computational fluid dynamics) What we offer
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engineering applied mathematics civil engineering geotechnical engineering applied physics other related disciplines. Demonstrated knowledge or experience in any of the following: computational fluid dynamics
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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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I offer projects broadly related to supernova explosions and the final stages in the lives of massive stars. Specific topics of interest include fluid dynamics processes in stellar explosions and
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Wind tunnel study of inertial particle dynamics in homogeneous and sheared turbulent flows Supervision
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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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, mechanics, fluid dynamics, or physics Excellent technical understanding and analytical capabilities High commitment and motivation, willingness to contribute to academic teaching Team spirit, strong
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, the programme aims to accelerate the transfer of ABH technologies towards real-world applications in sectors such as aerospace and energy. PhD project : Vibroacoustic control of fluid-filled pipes with add-on