292 structures-"https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" PhD positions in United Kingdom
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in Experimental Particle Physics (https://www.hep.manchester.ac.uk/study/ ). Our group (https://www.hep.manchester.ac.uk/ ) is one of the largest research groups in the UK with over 100 members
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the structure of para-aminobenzyloxycarbonyl (PABA) linker units. By altering substituents around the PABA core, we will investigate how electronic and steric effects influence payload pKa and, ultimately
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visit: https://www.brunel.ac.uk/about/our-history/home We are seeking to appoint a Research Assistant who will work on the ELOQUENCE European project which aims to study Large Language models in
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technology, and/or consumer research is desirable. Candidates with a relevant Master’s degree or significant industry experience are also encouraged to apply. How to Apply Full details available at https
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Application deadline: 30/05/2026 How to apply: https://uom.link/pgr-apply-2425 This 4-year PhD studentship is open to Home (UK) applicants. The successful candidate will receive an annual tax-free
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details can be found at https://www.net-zero-fibe-cdt.eng.cam.ac.uk/ The project is funded in collaboration with Tracey Concrete, a market leader in precast concrete manufacturing employing innovative
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communication skills, and a keen interest in conducting impactful research. For details on how to apply, please see here: https://www.centre-ub.org/studentships/application-process/ Interviews for this studentship
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perception, AI ethics, or forensic science are especially encouraged. To be considered for this PhD, please follow the instructions here: https://www.centre-ub.org/studentships/application-process/ Application
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The project will prioritise digitising these records using natural language processing (NLP) and machine learning (ML) to create structured datasets. These will support AI applications in paediatric care
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al. (2024) – Workload assessment in robotic teleoperation (Scientific Reports) https://doi.org/10.1038/s41598-024-82112-4 Ly et al. (2021) – Predictive haptic guidance in shared control (IEEE RO-MAN