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Award Duration 4 years Sponsor EPSRC and Eli Lilly Pharmaceuticals Supervisors Prof. Mike Waring and Dr. Hannah Stewart Eligibility Criteria We are adopting a contextual admissions process. This means
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enquiries about this job, contact Dr Xiao Chen at [email protected] . Next steps in the recruitment process It is anticipated that the selection process will take place during the week commencing 31
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Would you like to use cutting-edge artificial intelligence to solve real-world physics and engineering problems that matter? This fully funded PhD studentship offers an exceptional opportunity to do
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of sleep and physical activity linked to clinical and genomic data. Applicants should hold, or be close to completion of a DPhil/PhD in population health or a closely related field. Possess sufficient
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candidate will investigate novel sensing methodologies, develop physics-informed computational models, and apply state-of-the-art machine learning techniques to extract meaningful information from complex
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diagnosis methods that combine analytical approaches based on drivetrain physical properties with AI-driven data analysis techniques to enhance the accuracy and effectiveness of fault detection and
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Research theme: Applied physics, applied chemistry, applied materials How to apply: uom.link/pgr-apply-2425 This 3.5-year PhD project is fully funded by the Doctoral Landscape Award; students who
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Prof Jeremy Baumberg's NanoPhotonics Centre in the Physics department (http://www.np.phy.cam.ac.uk/ ), as well as the wider EPSRC MetaHub community (https://www.exeter.ac.uk/research/metamaterials
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Nuclear energy-density functionals are among the most powerful theoretical tools for describing atomic nuclei and for connecting laboratory nuclear physics with the properties of dense matter in
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Star formation and black hole growth are two of the most important processes in galaxy evolution. Although galaxies and their central black holes operate on very different physical scales