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innovation and increase business productivity by automating the construction of an enterprise-level Knowledge Management and discovery platform via the use of novel Generative AI, Large Language Models, and
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to contribute to a world-leading project on Survey Data Collection Methodology Survey Futures https://surveyfutures.net/ . Survey Futures is a collaboration between nine universities and three survey
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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
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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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. 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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) 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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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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the direction of Dr Maslovskaya, you will be part of a large multi-institution team of survey data collection methods experts in the UK. You will analyse probability-based NatCen online panel data collected using
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. This cross-disciplinary centre will bring together academic expertise, technical specialists, and advanced computing capabilities to enable research at scale – from the processing of large, complex data sets
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large data sets. Strong attention to detail and the ability to work collaboratively across the University are essential. Ref: 25AQSA0700 (307) Interviews: due to be held on week commencing 04 August 2025.