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This is an exciting PhD opportunity to develop innovative AI and computer vision tools to automate the identification and monitoring of UK pollinators from images and videos. Working at
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-on experience with real-world SCADA data, industry collaboration with RES Group, and training in high-fidelity simulation environments (OpenFAST, Digital Twin technology). This opportunity is ideal for those
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developing neurotechnologies for treating brain disorders? In this PhD you will work with datasets of neuronal activity in animals and humans. You will apply computational approaches to describe spatial and
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. Communication of scientific findings through publications and conferences. Person Specification A highly motivated candidate with: A degree or equivalent in numerate, computational, or environmental subject areas
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programme. It is led by inaugural Director Professor Michael Kenny and Professor Diane Coyle, Bennett Professor of Public Policy. Applications are invited for a Research Assistant/Associate position in
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3-year PhD studentship: Scaling-Up Functional 3D Printing of Devices and Structures Supervisors: Professor Richard Hague1 , Professor Chris Tuck1 , Dr Geoffrey Rivers1 (1 Faculty of Engineering) PhD
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Job Purpose The Community Innovation Practitioner (CIP) will be embedded within the Health Economics and Health Technology Assessment (HEHTA) unit and the Living Lab at the University of Glasgow
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. Applicants should hold a first-class (or equivalent) degree in a relevant engineering or science discipline (upper second class may be considered depending on the bachelor's/master's dissertation project
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in numerate, computational, or environmental subject areas. Numerate Subject Areas include e.g.: Mathematics, Statistics, Physics, Economics, Finance, Engineering (Mechanical, Electrical, Civil, etc
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28 Oct 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position