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numerate discipline (preferably Astronomy, Physics, Computer Science, Computer Engineering or related field). Candidates are expected to be familiar with the acquisition and reduction of data from large
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Extended Reality Lab (PIXL) to work on an ARIA-funded project at the intersection of Computer Vision and Climate Science. In this project we are developing a new approach for estimating a dynamic, four
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: Fixed Term Division/Team: Department of Computer Science Hours Per Week: 8.75 hours per week (0.25 FTE) Closing date (DD/MM/YYYY): 26/08/2025 Contract Duration: 11 months School/Directorate: School
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of Edinburgh and Glasgow, with expertise across computer science, wearable computing, AI and criminology. Our programme of research utilises both experimental and literature-based approaches to explore
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the Project PI. ii. Meeting the deliverables by carrying out the computational simulations and experimental studies planned for under the scope of work of the projects within the timeframe to meet the
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scholarship is suitable for students with a background in Engineering, Mathematics, and Computer Science. Students with interests in machine learning, deep learning, AI, intelligent decision making
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Background Earthworms are synonymous with our notion of beneficial soil biology playing a key role in maintaining a healthy functional soil. Earthworm populations are estimated to have declined by a
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coordination experience to facilitate the rollout of a new VR platform developed at the multi-award-winning, Immersive Technology Lab , based at Lucy Cavendish College, University of Cambridge. The first-of-its
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The funding provider: Health Data Research UK Subject areas: Wider Data Science Field, Maths and Computer Science Project start dates: 1st October 2025 ** (Please see the note below regarding
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Advert for Skills Coach role – Bio Science / Chemical Science Degree Apprenticeship This post is based in the Department of Natural Sciences. It is a permanent full time position. The Department