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. Oversee digital business continuity and disaster recovery planning. Develop and maintain KPIs and maturity roadmaps based on NIST or equivalent frameworks. Oversee cyber and information security assurance
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or more of Spatial Analysis, Big Data, Remote Sensing, Artificial Intelligence and/or Statistics. Will engage in theoretical and/or applied research which will complement existing strengths within
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. About you The successful candidate will have training in environmental science/engineering, water engineering, or equivalent subject, experience managing interdisciplinary research projects or large-scale
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Experience with a high-level programming language (e.g. Python, Julia) Experience using and processing a variety of hydrological and environmental data sources, including large spatiotemporal datasets
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information/issues. A high degree of initiative, personal judgement, resourcefulness, flexibility, and a self-motivating approach. Ability to work effectively in a large, complex organisation, and to develop a
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and fair for all. Find out more about the benefits of working at the University and what it is like to live and work in the Durham area on our Why Join Us? - Information Page Discover more about our
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. Experience with developing and presenting training or leading on meetings to a large team. Experience of working with young people leaving care, forced migrants, estranged students, young carers, student
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postgraduate degree (or near completion) in a related subject (or equivalent) or significant relevant experience leading on ERP systems within a medium to large organisation. Appropriate training will be
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) information-theoretic active learning, and c) capturing uncertainty in deep learning models (including large language models). The successful postholder will hold or be close to the completion of a PhD/DPhil in
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true team player, customer focused and provide support across the University. They will have experience in the use of large data systems and a good understanding of data structures. They will be able