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August 2026 Reference: 0688-26 Information System Services (ISS) is looking for a Digital Learning Facilitator to join our Digital Learning Team. The team provides advice and guidance to staff on a range
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Time (0.3 FTE), Maternity Cover (provisional end date 30/04/2027) We are seeking to appoint a Learning Developer with maths expertise to join our friendly and collaborative Learning Development team
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Online Learning Support Manager Educational Research, within the School of Social Sciences, seeks to appoint a full-time Online Learning Support Manager to support students and staff with our thriving
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to develop novel AI approaches for automated behavioural monitoring from underwater video, contributing across computer vision, machine learning, edge AI and interpretable decision-support systems
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research will develop and apply novel Bayesian machine learning methods – in particular physics-informed Gaussian processes and/or neural operators– to build accurate probability density functions (PDFs
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and climate adaptation worldwide. Your research will develop and apply novel Bayesian machine learning methods – in particular physics-informed Gaussian processes and/or neural operators– to build
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experience. Expertise in any of the following topics would be particularly welcome: statistics, data mining, machine learning, stochastic modelling, forecasting, simulation. Applications are by letter of
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revision techniques, and participating in teaching reviews and quality assurance processes. We are particularly looking for candidates who are passionate about creating an outstanding lab-based learning
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, expertise in how to scrape data from the web, and a critical, academic interest in studying the far right. Some background with machine learning, automatic feature recognition, multivariate statistical
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robust Faculty structure, improving management and governance and contributing to the ongoing development of an inspiring and creative working environment for staff and high-quality learning experiences