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Field
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integral methods, stochastic modelling, optimisation algorithms, or numerical simulation. Candidates with interest in electromagnetic theory, quantum mathematics, wave chaos and complexity, as
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Sequestration (SIGECOS)—aims to advance our understanding of how supercritical CO2 behaves when injected into deep saline aquifers. Using cutting-edge numerical methods and high-resolution simulations, you will
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manufacturing details. This de-featuring is not only expensive but also problem-dependent, as the relevance of a geometric detail varies with the physics being simulated. Concepts such as virtual topology have
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risks to public health, ecosystems and urban water environments, particularly under pressures from climate change, urbanisation and ageing infrastructure. Although high-fidelity numerical models can
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in conjunction with the industry partner, this PhD project aims to develop a reliable numerical modelling framework capable of: (i) simulating coupled heat and fluid flow within deep geothermal
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pressures from climate change, urbanisation and ageing infrastructure. Although high-fidelity numerical models can simulate hydrodynamic and pollutant transport processes, their computational cost limits
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are especially challenging to represent in numerical models of the atmosphere. Clouds affect the Earth’s radiation budget. Changes in their properties, either due to global warming or aerosol pollution, can
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., Nature 2023). The PhD would entail developing and running the Joint UK Land Environment Simulator (JULES) DGVM, land surface model of the UK ESM. The student will benefit from access to empirical and
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. Using cutting-edge numerical methods and high-resolution simulations, you will explore key physical processes governing CO2 plume migration, trapping mechanisms, and fluid–rock interaction under realistic
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numerical simulations; and (ii) quantify the influence of parametric uncertainty on geothermal system performance using these surrogate models, enabling rapid assessment of design and operational scenarios