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Field
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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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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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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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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
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simulations, exploring novel aspects of numerical modelling and expanding the computational mechanics capabilities of the group. This project offers the opportunity to join a vibrant research group and
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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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) simulations towards mapping out the stability and selectivity of LCO structures for a range of conditions. The project will thus deliver fundamental understanding of the mechanisms that affect catalytic
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the levels of immersion experienced by users in advanced VR environments. The position involves developing a VR simulation, modifying experimental conditions, conducting human trials, and analysing user
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numerical, utilizing computational fluid dynamics (CFD) to create high-resolution simulations. These simulations will capture the intricate turbulent dynamics of the flows, providing a detailed picture of