270 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at University of Sheffield in United Kingdom
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undertaken by the EPSRC Doctoral Landscape Award at the University of Sheffield. Structural Health Monitoring (SHM) is the process of using real-time sensor data from high-value engineering assets to inform
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, graduates, staff and visitors in person, via email and chat functions and telephone, recording enquiries on various information systems as required. Take care of sensitive, confidential, and personal student
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throughout own work area. D Application Further Information Grade 7 Salary £38,784 per annum Work arrangement Full-time Duration Fixed-term to 31/10/2026 Line manager Professor Siddharth V. Patwardhan Direct
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Further Information Grade 5.1 Salary £27,319 Work arrangement Full-time Line manager Technical Manager (Laboratory Services Group 1) Direct reports School Technical Manager Our website sMac website link
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national heritage, whilst others such as the award winning Information Commons are modern and sophisticated in their design and servicing. Main duties and responsibilities Carry out planned painting and
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information, please contact Prof. Rob Dwyer-Joyce at r.dwyer-joyce@sheffield.ac.uk Learn More: Leonardo Centre: www.sheffield.ac.uk/leonardocentre John Crane Ltd: www.johncrane.com Become a leader in clean
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and clinicians without reliable data to inform treatments. This PhD project directly addresses these challenges by developing an innovative wearable device that comfortably and discreetly captures vital
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). The Spatial Living Biobank leverages unique cell models, tissue and data to capture complex spatial differences within solid tumours and improve cancer drug development. This Fellowship is focused on furthering
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Giving team in CAR, this role encourages people to make gifts of up to £10,000 using a data-driven approach and a range of communication and fundraising channels. The Fundraising Officer will also
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atomic force microscopy in a representative subset, linking mechanical properties to histological and biomarker features. The final aim is to integrate these data into a multivariable prediction model of