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In many engineering simulations, the accuracy and efficiency of the solution depend critically on how the mesh is distributed relative to the underlying physics. Features such as boundary layers
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description In many engineering simulations
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cutting‑edge computational and mathematical techniques to problems with global significance. Interdisciplinary Training – Students gain expertise across physics, engineering, computer science, and applied
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motivated PhD candidate with interests and skills in computational modelling and simulations, fluid dynamics, mechanical engineering, physics and applied mathematics. You should have experience in one or more
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description High-order discontinuous Galerkin
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mathematics, physics, or electronics and telecommunications engineering. Experience in any of the following areas is advantageous: computational electromagnetics, partial differential equations, boundary
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the direction of the project, tailoring the modelling approaches, physical focus areas, or computational strategies to your interests—whether that involves large-scale reservoir simulation, pore-scale physics
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. Interdisciplinary Training – Students gain expertise across physics, engineering, computer science, and applied mathematics, developing versatile skills that open doors to both academia and industry. Collaborative
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programme that will train the next-generation of doctoral carbon champions who are renowned for research excellence and interdisciplinary systemic thinking for Net Zero. The ReNU+ vision is that they will
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: Applicants should have, or expect to achieve, at least a 2:1 honours degree (or equivalent) in a relevant subject, typically in the physical sciences or engineering. Experience of computer simulation, or