124 data-"https:"-"https:"-"https:"-"https:"-"University-of-Dundee" positions at Loughborough University
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of real-time adaptive 3D inspection, dynamically adjusting its measurement strategy based on data quality as well as environmental and scene cues. Positioned at the intersection of robotics, computer vision
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Research Associate in Information Management for People-led Net Zero Specialist and Supporting Academic Research grade 6 from £35608 to £44746 Wolfson School of Mechanical Electrical and
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develop AI- and deep learning–based computer vision tools to automatically identify and quantify intertidal organisms. Beyond computer vision, it will leverage machine learning for large-scale, data-driven
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manufacturing sectors, from SMEs to large global manufacturers. For details, visit the MTC website . Entry requirements: A 1st or high 2:1 degree in computer science, manufacturing/industrial engineering, data
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to missed detections, unstable feature extraction, and reduced confidence in data interpretation. Current perception pipelines treat observations as direct ground truth, yet at sea the visual signal is a
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. The role will involve establishing the optimum operating set-ups/parameters (SOPs) of micro-computed tomography equipment to acquire quality 3D image data sets. These data sets will then be re-constructed
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and analysing data derived from analytical techniques. Demonstrate excellent communication and interpersonal skills Have a PhD degree (or close to completion) in a related subject or equivalent
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at international scientific conferences. Experience of acquiring, curating and analysing data derived from analytical techniques. Demonstrate excellent communication and interpersonal skills. Informal enquiries
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information resources, and support for the development of information literacy, academic and research skills. This role supports the user experience by providing in person services within the Library building
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, primarily due to validation gaps in high-pressure boiling phenomena and the lack of high-fidelity experimental data. Building on recent advances in non-intrusive, high-resolution optical diagnostics