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Field
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developing cutting-edge computer vision and deep learning aimed at optimising inspection and monitoring of infrastructure. Applying these advanced technologies to real-world infrastructure challenges through
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/Team: Division of Informatics, Imaging & Data Science Hours Per Week: 35 hours per week Closing date (DD/MM/YYYY): 11/04/2025 Contract Duration: Fixed term for 9 months School/Directorate: School
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Established in 1996, The Association of Religion Data Archives (www.thearda.com) continues to be a global force in democratizing access to the very highest quality data on religion. Generously
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Aviation by 2050. This exciting doctoral project, in collaboration with Rolls-Royce, will develop innovative computer vision methods which when combined with optical flow velocimetry will enable imaging
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; Midlands Graduate School Doctoral Training Partnership | Nottingham, England | United Kingdom | about 2 months ago
) challenges in measuring real-world behaviours, (ii) absence of an objective measure of pro-environmental purchasing, and (iii) lack of data on exactly when and where the intention-behaviour gap emerges within
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quantum chemistry (QM), machine learning (ML), and high-throughput experimentation (HTE). The objective is to develop a data-driven framework that enhances the efficiency and effectiveness of catalyst
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distinct imaging methods to yield a novel imaging method that combines the benefits of both. The aim of this project will be to develop a novel method for fusing the data obtained by x-ray imaging and MIS
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Research theme: Net-Zero Energy Strategies for Data Centres How to apply:uom.link/pgr-apply-2425 Positions available: 1 This 3.5 year PhD project is fully funded and home and overseas applicants
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will involve regular interaction with collaborators from academia and industry. Interested candidates may contact the supervisor for further information (david.garcia@ed.ac.uk ). Personal website
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Fermilab in Chicago, USA to measure the oscillation of muon-type to electron-type neutrinos using a pair of detectors separated by 800 km. NOvA will continue with more than a decade of data-taking until