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impactful outcomes that shape the future. About You We are looking for a researcher with strong background and experience in the design, development and application of immersive XR technologies in creating
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rigorous approach to problem-solving. Applicants should have, or be expected to gain, a high 2:1 (preferably 1st class) honours degree in Mechanical or Aerospace Engineering, or a related discipline with
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behaviour. The successful applicant will be based at the University of Nottingham and spend time annually at UKAEA Fusion Technology Facility in Yorkshire, working with the Thermal Hydraulics Group to support
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, finite element analysis, programming and numerical methods. Applicants are expected to have achieved a First class (or, in special cases, an upper-class, 2:1) honours MEng/MSc degree or equivalent in
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AHRC Collaborative Doctoral Partnership (CDP) studentship: Histories of Pollution in the Urban Art Museum, c. 1840–1900 (UCL and The National Gallery) Applications accepted until 4 May 2026
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packages Experience of coding How to apply Interested applicants should contact Dr Amy Harwood for an informal discussion. To apply you will need to complete the online application form for a full time PhD
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Postgraduate Application’. Use ‘Course Search’ to identify your programme of study: search for the ‘Course Title’ using the programme code: 8060F select ‘Electrical and Electronic Engineering PhD (full time)' as
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of alpha-synuclein aggregates in neurons, forming Lewy bodies. A major challenge in the field is the lack of accurate and low-cost biomarkers for DLB, in particular in distinguishing it from Alzheimer’s
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to the research project. Home and international applicants are welcome to apply. Successful international candidates are required to fund the difference between home fees and international tuition fees
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Leonard Felicetti Entry requirements Applicants should have a first or second class UK honours degree or equivalent in a related discipline. This project would suit a candidate with a background in