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The Department of English seeks to appoint a Research Assistant who will join a project funded by the A. S. Hornby Educational Trust. This post is available from 5 January 2026 until 30 June 2026 and is available on a part time basis (0.1857 FTE, 6.5 hours per week). The research assistant will...
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Working alongside two other Learning and Teaching Support Officers, you will support Teaching and Learning within the School of Medicine, enhancing student engagement and experience for our large
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, multidisciplinary team of around 45 researchers and support staff brings together chemists, roboticists, engineers, and computer scientists, including PhD students, postdoctoral researchers, and experienced technical
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To undertake research on the evolution of prokaryotic pangenomes using machine learning and AI approaches. The work will involve the analysis of large prokaryotic genome datasets, the development
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will realise a programme of work to automate a number of legal processes and build tools involving AI technologies related to Machine Learning, Natural Language Processing, Neurosymbolic Computing and
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, artificial intelligence/machine learning, digital twins, and blockchain technology for operations and maintenance. This position is part of the Maritime Future Fuels Training Plan project, which aims
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Investment technology, ethics and strategy Equity and other asset classes Financial econometrics and machine learning. Corporate finance and accounting Corporate governance and shareholder value Corporate
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You will deliver the learning and engagement offer at Ness Botanic Gardens, including but not limited to: school groups, family activities, school holiday offers, family trials. You will be
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, meaning that familiarity with one or more cloud-based platforms such as Google Earth Engine, Microsoft Planetary Computer and/or Amazon Web Server/similar is essential. It will also involve the development
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non-emergency calls, monitor alerts through the SafeZone app, oversee CCTV and live car park systems, and continually assess levels of risk and vulnerability. By accurately assessing each incident