512 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Mines Paris PSL" positions at University of Sheffield in United Kingdom
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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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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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-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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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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selecting appropriate materials, designing components for 3D printing or machining, and integrating rotating machinery and porous membranes into a functional experimental setup. Apply advanced laser-based
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on the research conducted as part of an NIHR funded grant which comes to an end in July 2026 “Improving access to cervical screening for physically Disabled people” (https://www.dev.fundingawards.nihr.ac.uk/award
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website http://sitran.org For informal enquiries about this job contact: Professor Christopher McDermott (Professor of Translational Neurology, NIHR Research Professor, Director NIHR Sheffield Biomedical
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Machine Learning Methods for Autonomous Robot Navigation, Localisation and Pipe Inspection School of Electrical and Electronic Engineering PhD Research Project Self Funded Prof Lyudmila Mihaylova
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webpages for further information: https://www.sheffield.ac.uk/postgraduate/phd/scholarships Loans are available to eligible home fee-paying doctoral students studying postgraduate research courses: https
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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