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: This position is only open to UK students. The candidate must have at least an equivalent of a UK 2.1 class degree in materials/mechanical/ manufacturing/chemical engineering/physics/chemistry or any related
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interdisciplinary areas including in soil physics/mechanics, X-ray CT imaging, laser ablation tomography and plant-soil interactions. The student will also be able to access the generic training courses offered by
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10 years and our Research Group specialises in the development of models to support the asset management process. The candidate will engage with the High Speed 1 (HS1) team on a regular basis and will
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methods Switchable catalysis for pharma Sustainable additives for construction Smarter Synthesis via process intensification All Projects will all be informed by Life Cycle Assessments (LCA) and will
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View All Vacancies Science Location: UK Other Closing Date: Wednesday 28 February 2024 Reference: SCI252 Supervisors: Prof Ioan Notingher (School of Physics and Astronomy) Prof Hywel Williams
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, Physics, Computer Science, Biomedical Engineering, or from a clinical/healthcare professional. The successful candidate will be part of a mini-cohort and receive specialised training alongside their PhD
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algorithms for multi-body systems. This project would be most suitable for someone with an undergraduate degree in Mechanical Engineering, Biomedical Engineering, Physics or Materials Science. The successful
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algorithms for inverse problems arising from mechanistic models for welding. Mechanistic models provide a rich, principled and physics constrained approach to simulate welding of different materials
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relate to the interests of one of the School’s research groups: Cyber-physical Health and Assistive Robotics Technologies Computational Optimisation and Learning Lab Computer Vision Lab Cyber Security
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use of these services is often limited by frailty-related physical and cognitive impairments, transportation issues or other individual living contexts which affect engagement at the level and frequency