540 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" "St" "St" PhD positions in United Kingdom
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funding to enrol on this PhD. For students from China, you are encouraged to apply in partnership with the China Scholarship Council - more information can be found here: https://www.nottingham.ac.uk
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to promoting a diverse and inclusive community, and offer a range of family friendly, inclusive employment policies. For further information on the WIRe scheme visit: https://cdtwire.com/ The project will be
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survey data Development and implementation of experimental studies Writing and contributing to scientific papers for peer review Presentation of findings at national and international conferences Travel
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migrant and non-national groups. PhD Focus and Research Questions The PhD will explore how AI and digital data systems are changing everyday welfare practices in the UK. The student will likely focus on one
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remining life directly. The novelty comes from extracting information from the scattered ultrasound, which has previously been ignored. This information will then be used to extract probability metrics
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of building a virtual shoot meristem using multi-level data and computational modelling to investigate stem cell plasticity. The main focus of the RA's part of the project will be on computational modelling
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Application deadline: 31/03/2026 Research theme: Nuclear Materials Hoe to apply: https://uom.link/pgr-apply-2425 UK only This 4-year PhD project is fully funded by the Nuclear Decommissioning
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Imagine a world where sensors don’t just collect data, they think. With the exponential growth of the Internet of Things (IoT) and edge computing, the demand for ultra-low-power systems that can
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removed, and valuable post-process water streams are frequently discharged due to insufficient monitoring. This project will investigate the fusion of data streams from ultraviolet (UV) fluorescence imaging
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health outcomes across individual, social, family, and school contexts. The successful candidate will work with large-scale UK datasets, including the OxWell Student Survey, which provide rich information