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Field
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-efficient research that prevents fatigue failures has pushed towards integrated computational materials engineering approaches that improve competitiveness. These approaches rely on physics-based models
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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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biomedical systems, HetSys projects apply cutting‑edge computational and mathematical techniques to problems with global significance. Interdisciplinary Training – Students gain expertise across physics
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competitive process. (this will cover home tuition fees and UKRI stipend). The University actively supports equality, diversity and inclusion and encourages applications from all sections of society The Faculty
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suitable candidate is found, funding is then sought from the University of Nottingham as part of a competitive process (this will cover home tuition fees and UKRI stipend) The University actively supports
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community. We welcome students and staff from all backgrounds from over 100 countries and support our staff and students to realise their full potential, from academic achievement to mental and physical
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Application deadline: 27/03/2026 Research theme: Applied Mathematics, Thermal-Fluid-Dynamics, Multi-Physics UK only This 4 year PhD project is fully funded and home students. The successful
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of representative failure models for gear failures causes difficulties in their useful lifetime prediction. Critical operational parameters such as loading, speed and lubrication affect the physics of gear meshing
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and should be directed to Professor Ronita Bardhan on rb867@cam.ac.uk . Questions on the application process should be directed to the School's HR Team on sahhr@admin.cam.ac.uk . The closing date
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placement will be provided by HM Inspectorate of Probation. For further information about the application process, please contact the Admissions Team For further information about the project, please contact