39 high-performance-quantum-computing-"https:"-"https:" PhD positions at Newcastle University
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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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fabrication within engineering cleanrooms, in vitro testing and collaboration with consultant radiologists and surgeons from Gateshead Breast unit to assess device performance and clinical safety. Number
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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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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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: 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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sectors such as agriculture, power generation, and manufacturing (OECD, 2025 ). Regions across England face critical water security challenges due to high population density, intensive agriculture, and
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is jointly funded by EPSRC and the Department for Transport. When transport infrastructure suffers damage or disruption from events such as natural hazards (flooding, high winds) or planned maintenance
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prior to obtaining their visa and to study on this programme. How To Apply You must apply through the University’s Apply to Newcastle Portal Once registered select ‘Create a Postgraduate Application’. Use
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-generation regenerative materials. This interdisciplinary project combines mechanical, materials, and biomedical engineering, offering training across fabrication, nanomechanical analysis, and computational