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High-order solvers offer clear accuracy advantages, yet their effectiveness is fundamentally limited by the availability of suitable high-order meshes for complex industrial geometries. Current
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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 solvers offer clear accuracy
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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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for fusion components. This framework foresees two building blocks: high-fidelity Computational Fluid Dynamics (CFD) simulations of boiling flows within complex geometry using opensource software and cutting
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to complex geometries, and run in real time for digital-twin monitoring. This project will develop physics-informed Fourier Neural Operators (FNOs) for thermal NDE of curved and layered composite structures
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k Si3N4 and then the additive manufacturing of the components with the aim of achieving complex geometries with the enhanced ceramic. Funding notes: This PhD programme will be hosted in the School
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to understand how the properties of thin quantum-fluid films—systems that behave in strikingly non-classical ways—are affected by surface geometry. Two key cases will be investigated: quantum fluids confined to a
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confined battery geometries. Advanced modelling—including computational fluid dynamics (CFD) and transient thermal analysis—is required to accurately capture heat flux distributions, temperature uniformity
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develop roots preferentially upslope to provide anchorage against horizontal soil sliding. Greater understanding of how root system architecture and geometry provide resistance to different combinations
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that respond dynamically to external forces. Such possibilities challenge conventional thinking in engineering and design. By studying how stresses, geometry, and material properties interact, we can develop