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(TRANSFORM – CMT). The Reilly research group has developed a quantitative calf muscle Fat Fraction MRI protocol, the most responsive outcome measure (OM) in multiple forms of CMT. Technology advances using
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covering letter/supporting statement, CV and the details of two referees as part of your online application. Please see the University pages on the application process at https://www.jobs.ox.ac.uk
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information please visit: https://www.gov.uk/skilled-worker-visa. As a valued member of our team, you can expect: 1 A warm welcoming and engaging organisational culture, where your talents are developed and
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related to staff position within a Research Infrastructure? No Offer Description Organisation: Cranfield University Faculty or Department: Faculty of Engineering and Applied Sciences Based at: Cranfield
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entertainment domains and effective digital technology applications in the creative entrepreneurial context. His research works appeared in top academic journals, including MIS Quarterly, Journal of Marketing
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(https://www.ucl.ac.uk/work-at-ucl/search-ucl-jobs ) and search using vacancy reference B02-09899. To apply, please upload a current CV, complete the online application form, and use the supporting
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colleges, and discounts at University museums. See https://hr.admin.ox.ac.uk/staff-benefits Application Process Applications for this vacancy are to be made online. You will be required to upload a
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. Have a degree in Electrical Engineering/Mechanical engineering or equivalent. Knowledge of sensing, FMECA, equipment health management and programming will be advantageous. Knowledge of intelligent
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Research Assistant/Associate in the safer management of long-term conditions (LTCs) in disadvantaged
@newcastle.ac.uk) and Professor Sheena Ramsay (sheena.ramsay@newcastle.ac.uk ). Find out more about the Newcastle Patient Safety Research Collaboration here: https://psrc-ncl.nihr.ac.uk/ Find out more about the
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-of-the-art structural modelling and computational protein design approaches to understand and engineer enzymes that modify IgG Fc N-linked glycans. The successful candidate will use tools such as AlphaFold