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of granular heating and fragmentation, and feed the results into a new depth-averaged model of debris-avalanche dynamics. Your work will directly improve the physical models used to forecast the behaviour
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requirement is 2:1 in mathematics or physics. Mode of Study Full or Part time Start Date 1 February 2027 Additional Funding Information This project is offered on a self-funded basis. It is open to applicants
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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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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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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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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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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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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