82 structural-engineering-"https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" 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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, and motivated to improve workplace safety in healthcare technologies and to work across research, industry, and medical engineering. Methodology The overall aim of the project is to design and evaluate
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has seen the group develop, patent and spin-out a new bioprinting technology called reactive jet impingement. The group has then integrated this bioprinting technique alongside other technologies
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Compliance Engine to embed regulatory rules into the digital twin environment. Project Timeline Year 1 (Month 1-12): WP1 and associated training to obtain core skills in digital twin modeling and adversarial
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to simulate and optimise the high-temperature chlorination process used by Krystal Technology Ltd, a UK-based leader in high-purity quartz production. This project will deliver the first comprehensive CFD-DEM
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Element Method (CFD-DEM) model to simulate and optimise the high-temperature chlorination process used by Krystal Technology Ltd, a UK-based leader in high-purity quartz production. This project will
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are welcome to apply but will be required to cover the difference between Home and International fees. International applicants may require an ATAS (Academic Technology Approval Scheme ) clearance certificate
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(Academic Technology Approval Scheme ) clearance certificate 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
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the structure and robustness of the ecological networks supporting reef fish communities at different positions along depth, latitude, and longitude gradients; challenging these networks under hypothesized future
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depth-related plasticity in the physiology and behaviour of mesophotic reef fish. Identifying depth-related changes in the structure and robustness of the ecological networks supporting reef fish