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& environmental risk assessment. Numerical simulation techniques for hydrogeological systems. Advanced uncertainty quantification for robust modeling. Scientific communication, including publications & conference
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. A particular focus will be on the soil micro-structure evolution and how this links to macro-scale behaviour, using advanced laboratory tests, imaging techniques, and computer simulations. The
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tailored for the complex demands of modern ultra-efficient propulsion systems. This PhD project will address that gap by creating advanced simulation and design tools to evaluate integrated fuel systems
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manufacture, to enable quantitative imaging. Your research will include a mix of computational and experimental work to develop and characterise these instruments. Monte Carlo simulations (using GEANT4) will
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excite states in certain materials which can then be identified through inspection of the neutron energy spectra or emitted radiation. The project will initially involve simulation work using Monte-Carlo
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nonlinear effects. These nonlinear effects will be generalised via correction terms discovered by machine learning from a large numerical simulated dataset. This dataset also allows for extending the theory
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models to simulate mobility scenarios, assess policy interventions, and guide sustainable transport strategies. Redesigning Urban mobility in 15 minutes context – Designing a systems approach and AI
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and high-temperature conditions relevant to AGS. Developing high-fidelity direct numerical simulation (DNS) models to map flow regimes and explore buoyancy-driven flow transitions. Improving
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semiconductor devices, and develop high-fidelity instrumentation based on the electromagnetic fields created by the modules. You will develop 3D field simulations and experimentally validate your findings, both
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will also use finite volume-based numerical simulations and (if desired by the student) mathematical modelling. You will work alongside other researchers within the Fluid Dynamics Research Centre