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teaching. The successful candidate will contribute to the Institute’s research and teaching activities, including the development and application of advanced machine-learning models and big data analytics in
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Employer Engagement professionals and Careers Consultants, and be responsible for leading the planning and development of a suite of employer/alumni activities for students looking to work in Data/Analytics
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operational leadership. The successful candidate will further develop our teaching portfolio, including our MSc and BSc programmes, Energy Systems and Data Analytics and Sustainable Built Environments, Energy
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. You have strong analytical, organisational and communication skills, with the ability to present clear financial information to senior colleagues. The role requires a high level of accuracy, discretion
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develop a model for the ‘Faculty of the Future’, by applying digital innovation to all aspects of academic practice: research, teaching, knowledge transfer and professional services. For more information