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research. The project will involve computational modelling using physics- and machine learning-based methods and would suit a top student with a background in Physics, Engineering, Mathematics or similar
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, above. Select programme type (Research), 2025/26, Faculty of Engineering and Physical Sciences, next page select “PhD Engineering & Environment (Full time)”. In Section 2 of the application form you
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exhaustive, and the PhD candidate will be required to undertake such tasks and responsibilities as may reasonably be expected of a PhD candidate. Application process The application should include: a
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Gerard Cummins at G.Cummins@bham.ac.uk with a CV and academic transcripts. Further details are available here: https://www.intelli-ingest.com/individual-doctoral-project The selection process is open
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or international equivalent in an appropriate subject, including: biomedical sciences, medical physics. Further qualification such as an MRes is advantageous. If your first language is not English, you need
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alongside numerical simulations relying on high-performance computing and reduced order modelling. We aim to gain new insights about the physical coherent structures which are most relevant to viscoelastic
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to support condition-based predictive maintenance for gas turbine engines. Cranfield has developed unique physics-based technologies on gas turbine performance simulations, diagnostics, prognostics and lifing
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: Starts Sep/Oct 2025 3 year award Funding covers full tuition fees plus UKRI stipend of £20,780 per year How to apply: Apply online via the above ‘Apply’ button. Please click Apply for a Programme and
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and brain tissue mechanics to improve stroke treatment. Stroke is a leading cause of death and disability worldwide, making advancements in its diagnosis and treatment highly relevant. Computational
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Specified use +4 - covering a full postgraduate research programme Please note that existing postgraduate research students cannot be considered for this funding. Tenable period 4 years full-time or 8 years