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Project Supervisor - Dr Jonathan Kirby The field of complex numbers is in many ways the most elegant and important example of a mathematical structure in model theory. It has been the prototype
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PhD project: Modelling Resilience of Water Distribution Networks Supervised by Rasa Remenyte-Prescott (Faculty of Engineering) Aim: To develop an modelling approach for assessing water network
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Project details: Adaptive Automated Geological Modelling for Sustainable Mining Applications Sustainable mining requires a proper assessment of the risks involved in any decision in the mining value
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performing photocatalytic production of a green fuel, hydrogen, and removal of the potent greenhouse gas nitrous oxide. Those reactions were driven by electrons supplied by robust, light-harvesting Carbon-Dots
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. Yet, many stellar and planetary parameters remain systematically uncertain due to limitations in stellar modelling and data interpretation. This PhD project will develop Bayesian Hierarchical Models
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methods: The Met Office aims to help its customers stay safe and thrive by producing reliable weather and climate information. Numerical models of the climate system are an important tool to help achieve
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shading or relocation. Addressing this gap requires the integration of physiological models, environmental sensing, and data-driven forecasting, tools that can provide the predictive power urgently needed
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multimodal data, ultimately uniting rigorous machine learning foundations with biological discovery. Project details This PhD project will contribute to the development of generative models for multimodal data
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demonstrated in small-scale laboratory studies, its application for hard-rock ore at large-scale is almost entirely unexplored. This PhD aims to bridge this critical knowledge gap by developing novel finite
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name & email address Dr Tong Zhang: T.Zhang1@leeds.ac.uk Project summary A fully funded PhD opportunity is now open to students worldwide who aim to advance the research in integrated energy systems