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business requirements and identify opportunities to better utilise or implement software that aligns with the university’s current processes, systems and needs. You’ll develop a deep understanding of
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postgraduate Engineering students. Be responsible for maintaining and continuously improving key systems/processes/procedures within the School of Engineering Teaching Office related to teaching and quality
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of cells. Our computational team supports the research activities of both experimental and computational scientists within the CVR (https://cvr.ac.uk). The postholder will contribute to the analysis
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to contribute towards the STFC Late-Stage Commercialisation project “Natural NDT-CE” under PI Dr David Mahon. The candidate is also expected to support the wider experimental research programme of the Nuclear
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funded by ARIA. Specifically, the job requires excellent programming skills and substantial prior software development experience. As well as software engineering activities, the successful candidate will
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level plus the requisite experience in Physics or Engineering or Computer Science in (one or more of the) fields of imaging, quantum optics, computational imaging techniques. A2 A comprehensive and up-to
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Job Purpose Responsible for increasing staffs’ digital literacy skills across a range of technology-focused platforms that support learning and teaching initiatives across the institution
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Sociolinguistics of education and policy Education policy analysis Digital and information literacy Science, technology, engineering and maths education Practitioner voice in research and policy Participatory action
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research programmes across six key Data Science and AI areas; Health and Life Sciences, Social Sciences and Economics, Engineering and Physical Sciences, Arts and Humanities, Innovation and Impact, and the
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foundational AI workflows and pipelines, ensuring reproducibility, transparency, and ethical integrity. 3. Working closely with clinicians, researchers, and data engineers across NHS and UofG to identify