566 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" positions at University of Sheffield
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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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postgraduate research funding webpages for further information: https://www.sheffield.ac.uk/postgraduate/phd/scholarships Loans are available to eligible home fee-paying doctoral students studying postgraduate
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University website https://sheffield.ac.uk/hpdh/postgraduate/phd-study/history to check that you meet the entry requirements for PhD study and submit your application via PG Online https://sheffield.ac.uk
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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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, 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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to the Faculty, University and Sheffield Teaching Hospital's policies and procedures. Ensure all work is embedded in the University's Strategic Plan. (http://www.sheffield.ac.uk/ourplan/) . Act in accordance with
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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
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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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contribution Work arrangement Full-time (flexible-options considered) Duration 1st May 2026 - 31st Oct 2026 Line manager Research Fellow in Water Systems Microbiology Direct reports None Our website https