346 algorithm-development-"Multiple"-"Simons-Foundation"-"Prof" positions at University of Sheffield
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Investigation of the biological behaviour and genetic regulation of rare cancers, to develop new therapies. School of Medicine and Population Health PhD Research Project Self Funded Dr Karen Sisley
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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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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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for application to fusion reactors, considering factors such as muon flux, detector sensitivity, and data analysis algorithms. PhD candidates will be tasked with developing simulations of complete detectors and
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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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general-purpose theoretical results that are applicable to a broad range of problems, and (2) to investigate algorithmic solutions for specific problems. We would be interested both in developing efficient
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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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of data from in-Situ AM Process Monitoring tools, machine agnostic algorithms will be generated for quality control. Knowledge transfer of the methods developed onto industrial machine platforms will be a
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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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develop a range of project work being undertaken in the Health Determinants Research Collaboration (HDRC) led by the City of Doncaster Council (CDC) and funded by the National Institute for Health Research