38 high-performance-quantum-computing-"https:"-"https:"-"https:" positions at Newcastle University
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to assess feasibility and optimise performance under uncertain subsurface conditions. Two principal configurations are employed: closed-loop systems, commonly referred to as deep borehole heat exchangers
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include very high temperature stability, high mechanical stability and longevity, excellent chemical resistance, and tuneable microstructure. Combined with the design freedom of 3D printing, we have the
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and thermal models developed with an industry partner, the research will simulate coupled heat and fluid transport in sedimentary reservoirs and assess system performance under varying operational
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, and travel related to the project. Overview ReNU+ is a unique and ambitious programme that will train the next-generation of doctoral carbon champions who are renowned for research excellence and
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, artificial intelligence (AI), and cloud computing expand. This growth presents both challenges and opportunities for achieving net‐zero carbon targets. While AI data centres are often perceived as passive
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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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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