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Field
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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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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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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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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
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electric machines for future defence and aerospace propulsion systems. The research will explore innovative machine topologies and advanced multi-physics design methodologies to enable electric machines with
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Supervisor(s): Prof. Chaoying Wan, Prof. Steven Brown (Physics department) Stipend: UK or international Duration: 3.5 year Funding Eligibility: UK or international Start Date: 1st November 2026
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to register as a home PhD student by 1 February 2027. Closing date for applications: 27 September 2026 at 11:59pm The selection process will involve an interview with a panel and an presentation. Further
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Announcing 10 PhD Studentships within the Royal Holloway Social Purpose Centre for Doctoral Training
from all backgrounds to access our programmes. To help address any questions about doctoral study and the applications process we are hosting two information events for interested applicants: Thursday
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applicants must demonstrate that they have access to sufficient funds to cover this fee differential throughout their period of study. Evidence of funding must be uploaded as part of the application process
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interface of method development and materials physics, as part of a research group passionate about tackling complex materials challenges for materials with real-world applications. The project offers