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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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) publication at top tier ranked international conferences and journals in Computer Science. Person specification: MSc in Computer Science or AI (minimum of 2:1 degree or higher) UK home student status holder
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Modelling post combustion amine CO2 capture plant School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Prof Mohamed Pourkashanian, Prof Lin Ma, Dr Kevin Hughes
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academic supervisors and stakeholders, using mixed methods to generate insights with real-world relevance for justice, rehabilitation, and policy reform. Funding Comment Scholarship open to UK fee eligible
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statistics, health economics, or in a scientific discipline relevant to healthcare (assessed at: application) Have demonstrated experience in relevant research methods, for example through publications in peer
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Partnership at the University of Cambridge. This programme is a collaboration between industry and academia, now in the final 24 months of a 60-month effort. The programme integrates research and innovation
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NDVI, SAVI and EVI, provide the best indication of former channel networks. Original thought could also be demonstrated in developing the method of comparing measurements to the pre-existing data and the
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members of staff. Research in the Department is organised into six themes : Causality; Computational Statistics and Machine Learning; Economics, Finance and Business; Environmental Statistics; Probability
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. About You Skills and experience required for the role: PhD (or near-completion) involving qualitative research methods. Knowledge of qualitative research approaches and ethics. Experience of designing
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. A policy internship at a relevant organisation is embedded into this programme. Number Of Awards One Start Date 15th September 2025 Award Duration 3.5 Years Application Closing Date 27th July 2025