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Science & Informatics, to work on the InteGraL project (“Interpretable Graph-Based Machine Learning”). This Leverhulme Trust funded project is focused on developing alternatives to Graph Neural Networks (GNNs). Its
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Duties Provide expert professional support and advice to the Director of Learning, Teaching and Student Experience, Directors of Studies, Programme leads, and other academic staff regarding the development
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formal and informal networks. Work in partnership with Schools to support a wide range of quality assurance processes including programme approval and maintenance and revalidation in line with
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the field • To participate in School research activities. • To build and create networks both internally and externally to the university, to influence decisions, explore future research requirements
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and widening the University’s offerings to a broader range of learners. This specific appointment has arisen to support the delivery of a three-year programme phase that will work towards establishing
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relationships with partner institution staff, as well as academic and professional services staff at the University, developing effective networks. They will provide high quality professional guidance and
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Maintenance environment. 2. Substantial experience of working within specialist discipline to include being competent to operate specialist technical “engineering” software (eg: Amtech), Computer Aided
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, develop, deliver and evaluate an annual programme of online and in-person events to include: seminars, workshops, conferences, ‘lunch and learn’ sessions, networking events, and cross-Research Centre
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on attendance and engagement, responding creatively to student engagement trends, and working collaboratively across the University to deliver study skills at institutional and programme level. You will have an
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have a demonstrated 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. The successful