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Evaluating the use of longitudinal over-the-counter healthcare sales data as a source of syndromic surveillance for community-based infections UK Health Security Agency and Nottingham University
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utilise the University of Birmingham’s smart campus building data in order to develop a template for such an assessment. In parallel, working the Met Office and their forecasting team, the project will
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2025. Encouraged by the continuing success of modern machine learning (ML) techniques, researchers have become ambitious to develop ML solutions for challenging science and engineering problems with
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development could be foreseen in Year 4. The recruited PhD candidate will become a member of an active research group working on the development and application of cutting-edge computational techniques
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communities in the midst of civil war in addition to sustained strikes and new political movements. At its broadest perspective, the project aims to develop resources with which to consider the pasts, presents
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communities in the midst of civil war in addition to sustained strikes and new political movements. At its broadest perspective, the project aims to develop resources with which to consider the pasts, presents
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address: Dr Fahad Panolan: f.panolan@leeds.ac.uk Project summary The Algorithms group at the University of Leeds (UK) is offering a fully funded 3.5-year PhD studentship on Parameterized Complexity and
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will develop autonomous on-board guidance algorithms for space missions using open-source numerical solvers for convex optimisation developed at the University of Oxford. The focus will be on designing
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The project: We invite applications for a fully funded PhD studentship in the Solid Mechanics Group at the University of Bristol to work on the predictive modeling of hydrogen-induced damage in
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a collaborative studentship between the University of Edinburgh and the National Physics Laboratory (https://www.npl.co.uk/ ). The position will be registered and hosted at the University of Edinburgh