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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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. 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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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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academic colleagues on a day-to-day basis. Information enquires should be directed to Lindsay Ludlam, Postgraduate Programmes Manager at L.Ludlam@lboro.ac.uk . Application and assessment process Use
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strategic priorities into actionable plans with measurable outcomes. Harness data analytics and digital tools to provide high-quality insights for decision-making. Drive process improvement, efficiency, and
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Engineering; Mechanics; Data Analysis; Civil Engineering Design; Geosynthetics; Road and Pavement Design Project Title: New design practices for geogrid reinforced geotechnical systems. This is a 24-month
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presenting data as part of regular reviews; demonstrating excellent communication and interpersonal skills Informal enquiries should be directed to Prof Paul P Conway, by email at p.p.conway@lboro.ac.uk or by
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tasking information overlays and virtual target markers to guide operators to perform manual operations such as sequenced drilling. Funding has been received to acquire state of the art AR/VR systems
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towards a professional accountancy qualification. Ideal candidates will be data driven, proactive and confident communicators. If you feel that you have the skills, drive and enthusiasm required, we would
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of appointment), plus £2000 per annum training budget Key words: machine learning, deep learning, AI, artificial intelligence, LLM, data analytics About the project This is a 24-month Knowledge Transfer