332 quantum-physics-"https:"-"https:"-"https:"-"Embry-Riddle-Aeronautical-University" PhD positions in United Kingdom
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expect to gain, a minimum 2:1 Honours degree or international equivalent in a subject relevant to the proposed PhD project (e.g. Applied Mathematics, Physics, Mechanical or Chemical Engineering
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generation, and how these effects differ from those observed in idealised configurations. The project is supported by Rolls-Royce and combines fundamental flow-physics understanding with a clear design
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as well as published in leading subject and high-impact publications. The post-holder will have the opportunity to teach. Applicants should hold a PhD/DPhil in atmospheric physics, physics, data
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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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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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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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sustainable food or physical activity policies in local government, and how these actors exert influence. Many UK local governments face challenges in developing healthy and sustainable food or active travel
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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