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specialising in AI, digital twins, computational mechanics, and structural intelligence. This post is ideal for someone who wants to drive real‑world innovation, develop advanced technical expertise, and be
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methods, including computational, observational, and theoretical approaches. The Department of Earth and Environmental Sciences is a lively and dynamic community that aims to promote sustainability through
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to contribute to the teaching programme of the department at both undergraduate and postgraduate levels. Past experience teaching quantitative methods at undergraduate and/or postgraduate level is particularly
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trials in NHS settings. The successful applicant will join a vibrant multidisciplinary team working on the NIHR funded REDUCE programme . The programme is evaluating the effectiveness of a psychological
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multi-site, Wellcome Trust funded project which aims to identify relapse signatures in those with schizophrenia and psychosis using active and passive digital monitoring and data collection methods
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candidate will have a demonstrable ability to teach to a high standard and will be expected to contribute to the teaching programme of the department at both undergraduate and postgraduate levels. Past
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to carers’ assessments for adults being undertaken in Wales, as well as how they are experienced by carers through qualitative and quantitative methods. Using this information, the research team will map out
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transition to English-medium studies depending on their degree programme. The work has two key elements: i. The postholder will support the Academi Gymraeg and University teams to develop and deliver a Welsh
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managing the implementation and delivery of an activities programme for Reaching Wider’s priority audiences. Excellent networking, collaboration and practitioner skills and experience are required as the
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programme for adult learners in a higher education environment. Courses are taught during the daytimes as well as evenings and students do not need prior qualifications to attend. Students are drawn from