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to implement for the entire network. To address these challenges, the project aims to develop a novel, population-based indirect damage identification system, leveraging data collected on instrumented railway
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device software case study. The project is particularly suitable for strong UK graduates interested in developing advanced research and technical skills while working on a problem with real societal impact
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with global significance. Interdisciplinary Training – Students gain expertise across physics, engineering, computer science, and applied mathematics, developing versatile skills that open doors to both
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features such as curvature, branching, bifurcations, narrowing, and local dilations. This PhD project aims to develop a ‘haemodynamic fingerprinting’ framework that systematically links arterial geometry
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cryoprotective agents (CPAs). Overcoming these challenges is a major unmet need in biomedicine. This interdisciplinary PhD project aims to develop AI-driven approaches to discover safer and more effective CPAs by
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their understanding of food insecurity in specific groups while developing key professional and collaborative skills. How to Apply Please apply through the University of Sheffield Postgraduate Application System . We
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Proposal The project area is broadly defined, leaving scope for the applicant to develop their own specific research proposal as part of the application. The successful candidate will further develop
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with global significance. Interdisciplinary Training – Students gain expertise across physics, engineering, computer science, and applied mathematics, developing versatile skills that open doors to both
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PhD Studentship: Bottom-up Decoding of Protein Conformational Landscapes: from Gas-phase to Solution
with global significance. Interdisciplinary Training – Students gain expertise across physics, engineering, computer science, and applied mathematics, developing versatile skills that open doors to both
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mathematical techniques to problems with global significance. Interdisciplinary Training – Students gain expertise across physics, engineering, computer science, and applied mathematics, developing versatile