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predictive accuracy and prohibitively long computational times, making them unsuitable for real-time process control. Artificial intelligence (AI) models present a promising alternative by addressing
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Laboratory), and will provide experience with new and advanced 3D-printing equipment not available elsewhere. This project is aligned with the “Dialling up Performance for on Demand Manufacturing” Programme
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skills. Main duties will include: conduct tissue-mechanical and imaging experiments using early avian embryos; acquire and process data; prepare reagents and samples; optimise protocols; program and debug
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the quality of recycled materials, particularly polyolefins. Based at the University of Manchester and delivered in collaboration with the National Physical Laboratory (NPL) and Waters-TA Instruments
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for constraining the spin of the compact object being lensed which will involve both theoretical and computational modelling. If you wish to discuss any details of the project informally, please contact: Prof
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: • Experience with programming (Python, MATLAB), • background in aerospace, computer science, robotics, or electrical engineering graduates, • hands on skills in implementation of fusion
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the successful and vibrant UK catalysis and central facilities communities, whilst building skills in inorganic and physical chemistry, applied and sustainable catalysis and advanced X-ray characterisation
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of the brain, caused by a virus, an infection, or an autoimmune response. Following encephalitis, children and young people can experience physical/neurological consequences (e.g., headaches, seizures, sleep
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critical to ensuring the longevity and safety of fusion reactors. This PhD project focuses on developing an integrated framework that combines cutting-edge computational models, including Monte Carlo
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Arrangements: This is an in-person role based in Durham, requiring physical presence on campus and regular travel to partner schools in the region to support intervention delivery. The part-time hours (10 per