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, biomechanical aspects related to wearable sensing, and optimisation of sensors and wearable electronics for selected healthcare and sports applications. Your Group This project is part of the prestigious
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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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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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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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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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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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, mitigate health inequalities, and strengthen social cohesion. This project is part the NIHR-funded Health Protection Research Unit for Emergency preparedness and response (EPR-HPRU), in collaboration with
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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