274 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"DESY" positions at University of Sheffield
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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
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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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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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Information Grade 6 Salary £32,080 - £36,636 per annum Work arrangement Full-time Duration Open ended Line manager Social Media Manager Direct reports Our website For informal enquiries about this job contact
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or desirable Stage(s) assessed at Bachelor’s or master’s degree in human-computer interaction, education, public policy, or other related discipline (or equivalent relevant experience) Essential Application
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numerical data, and knowledge, understanding and experience of good laboratory practice are essential. Main duties and responsibilities Assist with development of culture methodology of rotifers and feed
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energy infrastructure is designed with a focus on efficiency and reliability under “normal” conditions. Traditional risk assessment methods look at historical data and isolated failure scenarios. But in a
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writing skills, enabling communication of strategic plans to all staff levels. Essential Application/Interview Further Information Grade Professorial Equivalent Band 1 Salary £71,566 - £90,603 Work
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at the University of Sheffield. Single photons are the indispensable information carriers for core quantum technologies, including quantum communication and computation. The critical hurdle is the reliable
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using deep learning. These data-driven approaches have proven to be highly flexible and powerful, able to generate nonlinear control policies able to act on the nonlinear plasma dynamics by learning