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and heat transfer in geothermal systems under high-pressure and high-temperature conditions relevant to AGS. • Developing high-fidelity direct numerical simulation (DNS) models to map
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the development of a low fidelity pump model that accounts for unstable and multi-phase flow behaviour through high fidelity simulations. This will be used to develop an integrated fuel system model that will
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weather-related extremes, much of it by our team, however we must also consider their cyber risks. Network modelling will be used to simulate a range of different cyber and natural hazards threats
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-conducting ceramic membranes or molten salts, and, in addition, experience in one of the following: carbon dioxide separation processes; experimental study of gas-solid and/or gas-liquid reactions
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the attacker compromises any steps in the software development process by deliberately incorporating vulnerabilities into the code to be triggered at a later stage of the software life cycle. We are looking
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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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in healthcare service and opportunities for identification of such deviations using computer vision approaches. It will demonstrate how deviation data can be used in computer-based simulation models
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overseas equivalent) Nationality restrictions This funding is available to all nationalities. Application procedure You must submit your completed online programme application for a place on your chosen PhD
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nationalities. Other eligibility criteria Application procedure You must submit your completed online application for a place on your chosen Postgraduate Research programme by 13 January 2025. This is to
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given to proposal addressing the following topics: Religion and emotion Religious minorities Fluency (oral and written) in Japanese is required. Application procedure You must submit your online