74 application-forms "https:" "https:" "https:" "UCL" PhD positions at University of Nottingham
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metabolomics and novel physiological MRI technique development within a translational research environment bridging analytical bioscience and neuro-oncology. Research Environment The successful applicant for a 4
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facility at Jubilee Campus. The PEMC institute is globally renowned and one of the leading in its field. Who we are looking for We are actively looking for candidates with A first-class (UK equivalent
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autonomous systems with applications spanning aerospace, nuclear engineering, and embodied intelligence. Vision We are seeking a PhD student who is highly motivated to work at the interface of reinforcement
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are seeking an enthusiastic, self-motivated, and resourceful PhD candidate with a strong interest in sustainable buildings, retrofit, and environmental performance. The successful applicant will be motivated
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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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of Engineering which conducts cutting edge research spanning exploration to translation, with curiosity driven projects all the way through to application in the clinic. Vision We are seeking PhD student that is
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lab is challenging the traditional view of soil-structure interaction (SSI). This project will investigate the critical role of changing particle shape on material wear and elevated stress transfer
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group (AMRG ) at the Faculty of Engineering (FoE), University of Nottingham. This fully funded 3-year studentship is available only to UK nationals. The successful applicant will receive a generous tax
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help shape future low‑energy, low‑solvent biomass processing methods. Who we are looking for We are looking for a curious, innovative, and self-motivated researcher with strong analytical skills and the
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social engagement. Studying its link to cognitive function and dementia risk provides a unique opportunity to understand how large-scale social policies shape healthy ageing and to generate evidence to