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PhD studentship: DEPTHS: Data-driven Evaluation of Pollutant Dispersion in Urban Areas by Detached Eddy Simulation and Experiment Award Summary 100% fees covered, and a minimum tax-free annual
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PhD studentship: Machine Learning-driven Fusion of Drone-mounted Ground-penetrating Radar and Smart Meter Data for Advanced Leak Detection in Water Networks Award Summary 100% fees covered, and a
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code: 8030F · Research Area: Chemical Engineering · Select ‘PhD Chemical Engineering’ as the programme of study. You will then need to provide the following information in the ‘Further
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on improving the resilience of critical coastal infrastructure by developing a digital twin - a virtual model that combines real-time data and advanced simulations to support better decision-making. At its core
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develop innovative techniques to accelerate computational methods in uncertainty quantification and data science. Potential investigation areas: • Enhancing Monte Carlo and Markov Chain Monte Carlo (MCMC
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for the ‘Course Title’ using the programme code: 8060F select PhD Electrical and Electronic Engineering (full time) as the programme of study You will then need to provide the following information in the ‘Further
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information in the ‘Further Details’ section: a ‘Personal Statement’ (this is a mandatory field) – Use this template . the studentship code DLA2510 in the ‘Studentship/Partnership Reference’ field. when
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to provide the following information in the ‘Further Details’ section: a ‘Personal Statement’ (this is a mandatory field) – Use this template . the studentship code DLA2514 in the ‘Studentship/Partnership
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)' as the programme of study You will then need to provide the following information in the ‘Further Details’ section: · a ‘Personal Statement’ (this is a mandatory field) – Use this template
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programme of study You will then need to provide the following information in the ‘Further Details’ section: a ‘Personal Statement’ (this is a mandatory field) – Use this template . the studentship code