622 structural-engineering "https:" "https:" "https:" "https:" "https:" "https:" "Multiple" "U.S" uni jobs at University of Sheffield
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Beyond the clinic: precision monitoring of facioscapulohumeral muscular dystrophy with digital health technology (C3.5-MAC-Bonci) School of Mechanical, Aerospace and Civil Engineering PhD Research
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For further reading see e.g., De Pontieu, Erdelyi and James, Nature 430, pages 536–539 (2004) https://www.nature.com/articles/nature02749 Dey et al., Nature Physics, 18, pages 595-600 (2022) https
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design including day-to-day project management and oversight of contractors Undertake design, construction and testing of prototype technology demonstrator Analyse and record data to aid future research
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students or students who have secured external funding. References https://onlinelibrary.wiley.com/doi/full/10.1002/anie.202213692 View DetailsEmail EnquiryApply Online
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migration. Please apply for this project using this link: https://www.sheffield.ac.uk/postgraduate/phd/apply/applying Funding Notes Self or externally funded students only. References Nazemi et al., PLOS
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. Please apply for this project using this link: https://www.sheffield.ac.uk/postgraduate/phd/apply/applying Funding Notes Self or externally funded students only. References Nazemi et al., PLOS Biology 2024
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to the goals of the national Quantum technology programme. Funding Notes This project is for self funded students or students who have secured external funding only. References https://ldsd.sites.sheffield.ac.uk
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Automatization and Digital Enhancement of Characterisation Techniques: Joining the Dots between AI, Machine Learning and Materials Advances School of Chemical, Materials and Biological Engineering
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ACCE+ DLA Programme: Engineering underground ecosystems for sustainable legume production School of Biosciences PhD Research Project Competition Funded Students Worldwide Dr Ellie Harrison, Prof
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is involved in the DUNE project with a broad range of responsibilities in detector construction, modelling and software development. This PhD project will focus on the development of a methodology for