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Field
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including predictive modelling, computer vision and epidemiology. The student will join an established team of investigators, including statisticians, epidemiologists, image scientists, and clinicians
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to the analysis of time series. In particular, the project will examine and develop methods that go beyond the Markovian paradigm. It will consider a range of time series data, focusing on those that show
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will examine and develop methods that go beyond the Markovian paradigm. It will consider a range of time series data, focusing on those that show challenging properties of uncertainty, irregularity and
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voting platforms to public consultation tools, these platforms must not only serve communities effectively but also withstand rapidly evolving security threats. The impending transition to a post-quantum
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Research Platform (SARRP) and in vivo imaging to develop image-guided radiotherapy (IGRT) strategies for liver and childhood brain cancers. A key focus of this project is hepatocellular carcinoma (HCC
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Fixed-term: The funds for this post are available for 3 years. A doctoral studentship is available in the forthcoming Aspirational Computing Lab (February 2026) in the Department of Computer Science
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This research opportunity invites self-funded PhD candidates to develop advanced deblurring techniques for retinal images using deep learning and variational methods. Retinal images often suffer
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The development of electric vertical take-off and landing (eVTOL) vehicles is one of the best solutions for solving transportation problems such as air pollution, road congestion, and long commute times. Lithium-ion batteries due to their high energy density, long lifetime, fast charging, wide...
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Applications are invited for a PhD studentship on the project EQUATE - a project that investigates how Natural Language Processing (NLP) could be made globally more equitable. This UKRI Frontier
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signs of cardiovascular changes, adaptively model physiological patterns, and identify predictive biomarkers of maternal health. You will develop and apply cutting-edge techniques in: Signal processing