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to increase each year. The start date is 1st October 2025. Industrial filtration felts are constructed using both mono-material and blended fibre systems to meet the mechanical, chemical, and thermal demands
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Research theme: Materials 4.0 No. of positions: 1 Open to: UK applicants This 3.5-year project is funded by the School of Natural Sciences and is available for home students; the successful
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multidisciplinary research team within the School of Electrical, Electronic and Mechanical Engineering. SMG is known for its work in computational mechanics, fatigue, fracture, and advanced materials modeling
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for a chemistry, physics or materials science graduate to be part of the semiconductor for net zero revolution. This studentship will also be part of an exciting new Doctoral Training Initiative called UK
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institutional development Create digital outputs such as podcasts, livestreams, downloadable publications, and online exhibitions to widen participation Produce accompanying written materials including press
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Ultrafast lasers drive innovations from quantum technology to medical imaging, yet controlling femtosecond pulses remains a major challenge. Metamaterials are artificial structures with
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via electron backscatter diffraction (EBSD). We are seeking a motivated researcher with a passion for metallurgy and materials engineering, eager to tackle industrially-relevant problems. Ideally, you
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group have developed an AI-enabled system which can extract detailed retinal vasculometry characteristics from colour fundus photographs (CFPs) in a fully automated way, allowing application to large
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; EPSRC Centre for Doctoral Training in Green Industrial Futures | Bath, England | United Kingdom | about 2 months ago
construction material manufacturing. The CDT and the project has an interdisciplinary approach: Collaborate with experts from diverse fields including engineering, environmental science, policy studies, and
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Title: Predicting and Improving the Quality of Recycled Plastics Using Advanced Metrology and Data Science Research theme: "Materials Characterisation" "Data Science and Machine Learning in