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within the Institute of Health Informatics. The studentships will commence from Feb 2026. About the project Successful applicants will work with the programme coordinator to identify a project and a
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experience in a range of industrially relevant computational engineering techniques. You will develop expertise in high-order finite element methods, mesh adaptation techniques, advanced parallel programming
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life sciences degree, A-Levels or above in maths, statistics, or computing modules are desirable. With a physics or maths degree, life sciences modules at undergraduate level are essential. - Skills and
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Institution: University of Roehampton (in partnership with LSE) Location: London (campus and partner-organisations) Funding: Full studentships (tuition + stipend) Overview The CRICA programme is a
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About the programme The Department of Economics at Royal Holloway, University of London is a centre of research and teaching excellence. Over 98% of our economics and econometrics research
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engineering, or atmospheric science* Expertise in and passion for computational modelling and software development/engineering Expertise in cloud physics or contrails preferred but not required Creative problem
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strong interest in aluminum alloys, fatigue analysis, and numerical modelling is preferred. Experience with computer aided design and engineering (CAE, e.g., Abaqus, Ansys) software tools commonly used in
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June 2026 (self-funded) About the department The Department of Economics at City St George’s, University of London is a leading centre of excellence for research and teaching in economics. The
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combining physical models, sensor data, computational methods, and damage and fracture mechanics concepts to create a virtual replica of the composite tank, enabling predictive maintenance, lifetime
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Engineering or Computer Science. We would also like to see experience in: Machine Learning, Optimisation, Python, finite elements How to apply: Stage 1: Submit your 2-page curriculum vitae (CV), transcripts and