48 quantum-physics-"https:"-"https:"-"https:" PhD positions at University of Nottingham
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the application process should be addressed to SV-PG-VET@exmail.nottingham.ac.uk . Start Date: 1st July 2026 Closing date: 27th March 2026 Eligibility for Funding This is a fully funded studentship open to UK
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in a relevant subject – Biomedical Sciences, Biomedical/Information Engineering, Computer Science, Analytical Bioscience, Physics or related disciplines. Prior experience with medical imaging
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the application process should be addressed to SV-PG-VET@exmail.nottingham.ac.uk. Start Date: 1st July 2026 Closing date: 27th March 2026 Eligibility for Funding This is a fully funded studentship open to UK
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for Additive Manufacturing research group (CfAM). The student will work in world-class laboratory facilities in the CfAM engaging with interdisciplinary team with expertise in 3D printing, biotechnology, physics
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subject – Biomedical Sciences, Biomedical/Information Engineering, Computer Science, Analytical Bioscience, Physics or related disciplines. Prior experience with medical imaging, particularly MRI, medical
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using multimodal approaches including advanced imaging, nano-mechanical characterisation and machine learning techniques Developing physics-informed reliability models using experimental datasets
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physically active population) as well as being one which many people do not recover well from and often suffer a reinjury. Thus, the injury has a high prevalence and can produce lifestyle limiting symptoms
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in Chemistry, Physics or related subject. The selected PhD candidate will work with Prof Elena Besley on computational modelling of next-generation semiconductors made from atomically thin materials in
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, for 42 months. Candidates must possess or expect to obtain, a 2:1 or first-class degree in physical sciences disciplines (Engineering, Chemistry, Physics, etc). To apply: send covering letter, CV and
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underlying physics while enabling real‑time or near‑real‑time predictions. You will work with experts in engineering, CFD, data-driven fluid dynamics and computer science. This PhD provides an excellent