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an efficient and mature technology, yet it requires high temperatures and has a large carbon footprint. This PhD project addresses a key challenge: efficiently producing bio-methanol from abundant
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drug discovery start points for high-value cancer targets. An iterative cycle of design-make-test will be used to optimise hit fragments identified through screening. The project will provide
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, delivering greater performance, functionality, and reliability. This demands the adoption of faster switching wide bandgap devices and greater system integration. About This PhD This PhD programme is part of a
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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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: the key fragment screening techniques. It will be screened against potential protein targets via both protein NMR and X-ray crystallography to identify drug discovery start points for high-value cancer
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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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manufacturing (OECD, 2025 ). Regions across England face critical water security challenges due to high population density, intensive agriculture, and shifts in climate towards drier summers and higher
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the University’s Apply to Newcastle Portal Once registered select ‘Create a Postgraduate Application’. Use ‘Course Search’ to identify your programme of study: - select 'Postgraduate Research' in the Type of Study
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impacts across domestic and water-intensive sectors such as agriculture, power generation, and manufacturing (OECD, 2025 ). Regions across England face critical water security challenges due to high
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framework capable of accurately predicting pollutant transport and dispersion in coastal waters. By combining high-fidelity numerical simulations with data driven surrogate models, the proposed research aims