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experimentation and finite-element modelling. Research themes would be flexible including green steel formability under the EPSRC ADAP‑EAF programme for automotive and packaging applications; or micromechanical
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methods. The successful Research Assistant will support the team and develop and conduct a PhD project within the remit of the workstream. Research priorities and questions will be co-produced with the NHS
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methods. The successful Research Assistant will support the team and develop and conduct a PhD project within the remit of the workstream. Research priorities and questions will be co-produced with the NHS
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/staff/s.grasso/), a leading expert in ceramics processing with over 300 publications and 28 patents, whose vision is to "develop better materials using less energy without critical elements" and whose
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treatments. To date, there are few techniques that integrate AI and digital twins to improve patient outcomes. Your Role In this project, you will develop new methods that combine AI and digital twins
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treatments. To date, there are few techniques that integrate AI and digital twins to improve patient outcomes. Your Role In this project, you will develop new methods that combine AI and digital twins
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methods with peer researchers to better understand how racially minoritised informal carers across life stages are impacted by and resist inequities, addressing key gaps and co-developing culturally safe
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associated numerical methods and AI, will be used with High Performance Computing (HPC) to improve understanding of key flow physics and inform future HPT design. Skills and Experience Required: Applicants
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methods with peer researchers to better understand how racially minoritised informal carers across life stages are impacted by and resist inequities, addressing key gaps and co-developing culturally safe
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is often challenging, and noninvasive methods tend to perform poorly. Existing lab techniques typically require invasive sample collection, followed by time-consuming culture and antibiotic resistance