583 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" "U.S" positions at University of Sheffield
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, water quality and meteorological datasets routinely collected by water utilities. The student will have the opportunity of using state-of-the-art machine learning methods (predictive analytics) to analyse
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link for information on how to apply: https://www.sheffield.ac.uk/cbe/postgraduate/phd/how-apply. Please include the name of your proposed supervisor and the title of the PhD project within your
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. Manage distribution and return of keys/fobs for accommodation buildings including cycle storage and car parking permits. Support the management and auditing of 9,000 building keys, including daily and
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-standard queries. Essential Application/interview Good understanding of computer operating systems (Windows and Mac OS) and desktop software (MS Office, web browsers) and an interest in learning new
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website https://www.sheffield.ac.uk/cmbe For informal enquiries about this job contact Professor Ipsita Roy, Professor of Biomaterials: on I.Roy @sheffield.ac.uk . Next steps in the recruitment process It
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to develop cutting-edge imaging and analytical tools to answer fundamental biological questions about how tissues and tumours respond to mechanical stresses. Lab website: https://www.helenmatthewslab.org
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Delivery Staff Our website https://sheffield.ac.uk/ctru For informal enquiries about this job contact Prof Matt Hammond, Director of the Sheffield Clinical Trials Research Unit: on matthew.hammond
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hydro-climatic conditions govern vegetation behaviour, and how vegetation impairs the functioning of drainage and water-management assets. Using advanced geospatial modelling, machine learning and digital
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contexts. The project will build on both consolidated knowledge in the history of technologies, and the most recent literature on the perception of digital and computer-assisted creative outputs
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International Public and Political Communication programmes in particular, and other material as appropriate for our wider journalism teaching portfolio. This will include identifying learning objectives