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gaining deep insights, we aim to design catalysts that fully exploit alkali species, driving real progress toward a more sustainable world. As part of our team, with expert supervisors in catalyst design
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effusive and explosive activity. This PhD studentship is part of the NERC Large grant ‘Ex-X - Expecting the unexpected- Understanding Dangerous volcanic transitions’, and will study both historical and
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failure before components are built? We invite applications for a fully funded PhD project to develop microstructure-aware simulation models for fatigue and damage prediction in turbine wheels. Working in
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compatibility with traditional composite matrices. Explore complementary computational fluid dynamics-discrete element method (CFD-DEM) simulations as a tool to predict fibre-fluid interactions and inform
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programming experience (preferably in Python). If English is not your first language, provide evidence of proficiency through: A minimum IELTS average score of 6.5 and a minimum of 6.0 in each component. OR A
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simulations to improve on existing power usage models. This research will be a key component of making computing more sustainable by providing novel insights into the energy usage of scientific software and
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are available for one year from commencement in employment in the first instance. This is a full-time position. Part time applications of no less than 80% FTE will be considered. Appointment at Research
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which have not been requested, we will not be able to consider these as part of your application. Please submit your application by midnight on the closing date. If you have any questions about this
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to consider these as part of your application. Please submit your application by midnight on the closing date. If you have any questions about this vacancy of a technical nature, please contact Prof. E
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to remove PFAS from water sources used for drinking. Part of the planning process involves evaluating operational aspects of these treatment processes such as contact time, media type and regeneration