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Field
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) Understanding NSZD processes and their relative importance in LNAPL depletion. (2) Integrating NSZD processes into CoronaScreen for broader contaminant modeling. (3) Developing advanced transport models
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This PhD project offers the opportunity to explore a rich and rapidly developing area of research where powerful mathematical ideas unlock exact solutions in quantum physics. Most physical systems
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This PhD project will develop next-generation grid-scale energy storage solutions integrated into HVDC (High Voltage Direct Current) systems at the University of Edinburgh, in partnership with UK
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candidates to work with our interdisciplinary and collaborative team on a project on research and development of innovative surface treatments of advanced engineering materials. You will be based in Manchester
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2025. Encouraged by the continuing success of modern machine learning (ML) techniques, researchers have become ambitious to develop ML solutions for challenging science and engineering problems with
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sustainable aviation fuel (SAF), and importantly, hydrogen. Plastics are comprised of numerous polymers, thus the products of each vary through chemical recycling processes This project seeks to develop an in
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if this is the case. As this is the methodology used by government to assess and compare the energy and environmental performance of dwellings, the current rating disincentivises developers from specifying
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cause of death by 2050, with novel approaches to diagnostics urgently required. This project will develop a new sensor technology to diagnose bacterial infections rapidly. The research will be embedded in
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, and energy efficiency. Advanced Manufacturing: Developing and implementing cutting-edge fabrication techniques (e.g., micro-fabrication, polymer, nanoparticle) to realise the designed metamaterial
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sustainability goals whilst improving operational efficiency? This PhD studentship will involve developing machine learning models, creating virtual manufacturing replicas, and implementing optimisation algorithms