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Interview Motivated in learning new methodologies and applying new knowledge Essential Interview Knowledge of the approximate Bayesian machine learning (e.g. MCMC) (assessed at: Application form/Interview
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-assisted vector databases, data-mining techniques - to reassess currently available information sources including letters, diaries, manuscripts, annotated maps and objects to identify these women
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Overview The IT Services (ITS) Portfolio team provides a single view of ITS delivery commitments, as aligned to the University of Sheffield’s strategic objectives. As Head of Portfolio, you will
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campaigns including programmed screening or Bayesian optimisation. You will characterise the resulting materials, in terms of their properties and performance for an intended application. Sustainability will
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experimental physics. The primary objectives are: 1. Establish a Robust Evidence Base: Conduct a large-scale, mixed-methods study across UK schools and colleges. This involves surveying students in Years 12 and
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. Collaborating within a team, you will leverage your extensive manufacturing experience to identify, evaluate, and implement established and emerging technologies. Your key objective will be to develop robust and
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The Spatial Poetics of Objects: A digital enquiry into domestic objects in museum collections
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data collection, analysis and storage on a day-to-day basis. Work independently and as part of a team to deliver the research objectives in line with the project outline. Direct the work of supporting
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-level control objectives, enabling robots to plan, explain, and adapt in unstructured settings. Target applications span robust grasping, non-prehensile manipulation, and deformable-object handling
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work, such as the University’s golden thread campaign, ensuring objectives are met. Support the management of the University’s external reputation and provide specialist and expert reputational advice