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scattering with computer modelling such as molecular dynamics simulations and AI-assisted data mining. The new technical capabilities will help bridge the current gap in biocide development, i.e., to link
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) benchmarking of a contamination process using non-active methods, for simulating exposure to their radioactive counterparts. Electrochemical polarisation as decontamination tool will be explored, using a novel
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methods to enable scale-up of mammalian synthetic biology technologies, in collaboration with teams at Imperial College London. What you will get in return: Fantastic market leading Pension scheme Excellent
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-free stipend based on the UKVI amount (£20,780 for 2025-26). We expect the stipend to increase each year. This studentship is related to a multi-institutional EPSRC Programme Grant “AMFaces: Advanced
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vapour deposition (CVD) remains a leading method for CNT synthesis, yet the role of catalyst composition in controlling CNT morphology and purity is still not fully understood. This PhD project, in
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product sizes and enabling direct on-site manufacturing. The successful candidate will explore innovative methods to realize large-scale on-site 3DP by addressing two key technical challenges: 1) How
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for 2024/25). This funding is available for home, EU students. Identifying materials within sealed containers is of interest to the UK’s continuing stewardship of nuclear material. Radiological methods can
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to increase each year. Tuition fees will also be paid. Home students are eligible. A funded PhD studentship is available in the field of computational inorganic chemistry. The project will involve prediction
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Deadline: All year round How to apply: https://uom.link/pgr-apply-2425 UK only This 3.5-year PhD project is open to home students; the successful candidate will receive an annual tax free stipend based on the UKVI amount (£20,780 for 2025/26) and tuition fees will be paid. We expect the stipend...
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Gamesa Renewable Energy R&D team and also undertake an industry placement as part of the PhD programme. To apply, please contact the main supervisor, Dr Chen - lujia.chen@manchester.ac.uk . Please include