480 algorithm-development-"Multiple"-"Simons-Foundation"-"Prof" "UNIS" positions at University of Sheffield
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to the Operations Manager, this is a key role which will work flexibly across our four buildings, sometimes multiple buildings in the same day, delivering expert technical and operational assistance and support for
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experimental research as well as data analysis and algorithm development. Students with either an undergraduate honours degree (1st) or MSc (Merit or Distinction) in engineering, mathematics, neuroscience
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programmes across discipline specific themes, in this case, Rail. You will look after multiple funded rail based research projects within the Tribology Research Group, having excellent interpersonal and
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participate in developing algorithms for tau lepton identification, and will also have the opportunity to assist with silicon module construction for the ATLAS tracker upgrade. Instructions for applying can be
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Cleaner coal technology - Developing new predictive tools for improving the combustion processes for coal/biomass fuels School of Mechanical, Aerospace and Civil Engineering PhD Research Project
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Directly Funded UK Students Dr Jon Willmott, Dr Matthew Hobbs Application Deadline: 23 June 2025 Details The fusion energy sector must develop methods of remote maintenance where human access is impossible
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responsibilities Research: Contribute to or lead on the statistical aspects of the development of high quality research bids to evaluate the effectiveness of new health technologies, which is recognised both
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year round Details This research is aimed at developing scalable Bayesian approaches able to solve complex and high dimensional problems with multiple objects and multi-sensor data. One such problem is
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Developing Sustainable Plant Based Meat Analogues School of Chemical, Materials and Biological Engineering PhD Research Project Directly Funded UK Students Mr Luc Dewulf, Prof Agba Salman, Prof
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explore data-driven methods including machine learning (ML) and artificial intelligence (AI) techniques, to develop predictive HMPM tools that can diagnose, detect, and predict faults in machinery