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metascintillator prototypes towards clinical application. The research will combine experimental surface engineering, advanced materials characterisation (SEM, XRD, spectroscopy), and performance testing alongside
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This self-funded PhD research project aims to advance the emerging research topics on physics-informed machine learning techniques with the targeted application on predictive maintenance (PdM
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supervisors spans five departments at University of Nottingham including Architecture and Built Environment, Electrical and Electronic Engineering, Mathematics, Physics and Social Sciences. The PhD programme
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: Dr Peter Ladlow Funding package: Full tuition fee waiver Stipend of £20,780 per annum (3.5 years) All bench fees and consumables covered Key dates: Application deadline: 31 October 2025, 17:00
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background, we welcome applicants from other relevant disciplines, including psychology, sociology, criminology, law, and computer science. This PhD studentship is fully funded for up to 3.5 years with a tax
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available to UK applicants. Overview We are looking for PhD candidate to work with The National Hub for Decarbonised, Adaptable and Resilient Transport Infrastructures (DARe ), led by Newcastle University and
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the application process please contact Simon Gurry, HR Coordinator at hradminpsychiatry@medschl.cam.ac.uk To apply online for this vacancy and to view further information about the role, please click the' Apply
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of applying. To apply, candidates must submit an application for the 'History Research MPhil/PhD (Full-time)' programme via the King's online admissions portal, by clicking the 'Apply' button, above. The
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methods experience. Quantitative applicants are expected to have worked with large datasets or equivalent project experiences, and have programming skills such as R coding (preferable) and communication
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plan to test any device in the stratosphere. Teaching/learning support, networking and planning the use of resources also takes up a small portion of this position. The skills, qualifications and