570 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "The Institute for Data" positions at University of Sheffield
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of application review and, where applicable, interview. Eligibility and application guidance can be found here: https://slt-cdt.sheffield.ac.uk/apply For an informal discussion about your application
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silk extrusion, which will guide attempts to produce synthetic silk in the lab. Please apply for this project using this link: https://www.sheffield.ac.uk/postgraduate/phd/apply/applying Funding Notes
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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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process and examine each case in its own right. More information can be found on our Information for candidates’ page: - sheffield.ac.uk/jobs/candidates (opens in a new window).
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Rethinking scholarly and editorial practices for born-digital data Digital Humanities Institute PhD Research Project Self Funded Dr Isabella Magni Application Deadline: Applications accepted all
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Forecasting the Future of Biodiversity: Cutting-Edge Approaches to Population and Community Dynamics
: How can tools like passive bioacoustics revolutionize wildlife monitoring? We offer cutting-edge training in statistical modelling, machine learning, and ecological forecasting, and our lab works across
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for this project using this link: https://www.sheffield.ac.uk/postgraduate/phd/apply/applying Funding Notes Self or externally funded students only. References https://www.sheffield.ac.uk/biosciences/research
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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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, 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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-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