247 evolution "https:" "https:" "https:" "https:" positions at University of Sheffield
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in a specific programme of research focussing on the development of transfer learning for PBSHM. The programme will also involve validation of the methods on populations of laboratory structures in
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evaluation of the Public Health Intervention Responsive Studies Teams (PHIRST) scheme (https://phirst.nihr.ac.uk /) and is funded by the National Institute for Health Research (NIHR) Public Health Research
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: Applications accepted all year round Details In this project you will combine state of the art software development approaches for GPU programming with the study of interactions of high-energy particles with
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healthcare, electronics, communications, space and aviation (https://metamaterials.network/). This project will focus on developing mechanical metamaterials for healthcare applications; targeting orthopaedic
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the ability to communicate effectively with academics, industry professionals and students. A genuine interest in training delivery, outreach and PGR development is desirable. Main duties and responsibilities
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to provide demonstrations to groups of students. Essential Application / Interview The ability to follow instructions. Essential Application To undertake training and development where relevant to the role
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at Sheffield, which will provide additional unique training and development opportunities. Funding Notes Fully funded 3.5-year duration PhD studentship covering tuition fees, research expenses, and a competitive
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manufacturing sectors and the development of new programmes of collaborative and translational research. The successful candidate will have deep technical knowledge of electron microscopy and ideally will have
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, identifying and providing continuous development and training opportunities for the team. Drive delivery performance across the team, identifying and implementing process improvements, sharing best practices
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practice digital twins within a systems view of healthcare services. Contribute to the development of digital twins and data analytics functions working across data platforms and operating environments