744 web-programmer-developer "https:" "https:" "https:" "https:" "https:" "https:" "University of Kent" scholarships in United Kingdom
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details Supervisors: Dr Oksana Trushkevych and Prof Tony McNally Research area and project description: Develop scalable acoustic methods to structure advanced polymer composites for lightweight, low‑carbon
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The University of Exeter’s Department of Clinical and Biomedical Sciences is inviting applications for a PhD studentship funded by Diabetes UK to commence on 21 September 2026 or as soon as possible thereafter. For eligible students the studentship will cover Home tuition fees plus an annual...
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). All applicants must meet UKRI terms and conditions for funding. See: https://www.ukri.org/funding/information-for-award-holders/grant-terms-and-conditions/ How To Apply You must apply through
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clinicians as well as scientists from UKSHA, we have set up a unique facility to develop radiotracers (conjugating radiometals with different targeted molecules) and to evaluate them biologically in vitro and
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electronic properties. The development and application of state-of-the-art experimental techniques are therefore central to progress in this field. In this PhD project, the successful applicant will work as
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information theory, and quantum technologies. For additional information, please visit: https://dakic.univie.ac.at/ . Your future tasks: You will actively participate in research, teaching & administration
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Prof Jon Heffernan Application Deadline: Applications accepted all year round Details The EPSRC National Epitaxy Facility has a funded PhD studentship available for research and development in AI
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Application deadline: 15/05/2026 Research theme: Biocatalysis How to apply: https://uom.link/pgr-apply-2425 This 4-year PhD studentship is open to Home (UK) and overseas students. The successful
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observed, a challenging task due to the extreme radioactive environment. The aim of this project is to use experimental and modelling approaches to develop a detailed understanding of the physical
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the complex multiscale nonlinear interactions at the origin of such extreme events. In this project, you will develop machine learning-based reduced-order models which can accurately forecast