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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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increase healthcare access. Further, such technologies can facilitate remote training monitoring and performance enhancement for athletes. Developing accurate, low-cost, comfortable technologies
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to study corrosion, cracking and mechanical degradation, develop advanced computational models using modern C++ and high-performance computing to simulate material behaviour over a 100+ year timespan. This
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of understanding how to shape these fields are being investigated by measuring currents, voltages, and temperatures directly inside modules. In this PhD, you will design and develop high performance modules for WBG
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participate in the Joint Nottingham and Adelaide PhD Programme. Cutting-edge research where you will develop interdisciplinary skills We are looking for: Graduates with a strong degree (first or high upper
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! Where are they hiding? It turns out that binary systems containing high mass stars (and so those which go on to produce black holes), evolve through a number of stages; in one such stage there is a black
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of Strathclyde will lead the wind energy training and research elements of the programme. Funded by EPSRC, this 4 year PhD studentship, at the University of Strathclyde is in the area of novel wind turbine concept
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Location:Hammersmith Campus About the role: We are looking for a Research Associate or Research Assistant to join a research programme studying how the immune system responds to changes in lipid
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NPL, the UK’s national metrology institute, is developing a fully functioning, thoroughly characterised, local area quantum network (QLAN) linking heterogeneous nodes across its site. It will make
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impact. Recycled plastics often suffer from high variability, making it challenging for industry to predict and optimise their performance for specific applications. This PhD project seeks to address