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Funded PhD Studentships at the EPSRC Centre for Doctoral Training (CDT) in Offshore Wind Energy Sustainability and Resilience 4 Year PhD Programme Funding Available Students Worldwide View DetailsEmail EnquiryApply Online
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EPSRC CASE Studentship. University of Sheffield and Syngenta Crop Protection Machine learning is increasingly used for decision making and molecular design in the pharmaceutical and crop protection
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at the Department of Computer Science, the University of Sheffield. Previously, he was a Senior Research Associate in Data Science in Mobile Health at King’s College London. Dr. Sun's research
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University of Sheffield (c/o Prof. Shuisheng He). In addition, the project will benefit from the support from international experts as part of the FONESYS (Forum & Network of System Thermal-Hydraulics Codes in
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, bioengineering, mechanical engineering and the Insigneo Institute. The candidate will gain a unique opportunity to carry out research in an exciting interdisciplinary project to answer important clinical questions
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the Faculties of Health and Engineering at the University of Sheffield, working with South East Asian countries. There will be flexibility to refine the exact topic of the PhD to complement the work of a
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Research Council (ESRC)-funded research project, led by Professor Tom Goodfellow at the University of Sheffield. The PhD will be based in the Department of Urban Studies and Planning at Sheffield, and will
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cultural geographers at the University of Sheffield and curators of medicine at the Science Museum. Project description This project builds upon co-produced research in which students and academic staff
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The University of Sheffield is one of the best not-for-profit organisations to work for in the UK. The University’s Total Reward Package includes a competitive salary, a generous Pension Scheme and annual leave
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PhD Scholarship: Real-Time Brain Injury Prediction and Protection Framework for Intelligent Vehicles
PhD candidate to join our research project at the University of Sheffield, focusing on the development of intelligent vehicle safety strategies with a focus on brain injury prediction. This project aims