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, water quality and meteorological datasets routinely collected by water utilities. The student will have the opportunity of using state-of-the-art machine learning methods (predictive analytics) to analyse
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level. Successful candidates will teach and supervise students who are serving officers and civil servants in the UK and allied armed forces and partners. There are also opportunities to contribute
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For details of the appointment and how to apply, please visit https://PLusPortal.PerrettLaver.com quoting reference 8185. Imperial College London is one of the world's great universities, renowned
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’. Palaeoverse (https://palaeoverse.org/ ) is an organisation aiming to unite the palaeontological community through shared resources, agreed standards, and a collective commitment to improving reproducibility in
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expertise in machine learning, soil microbiomes, microbial 3D printing and biophysics, our team has access to a broad spectrum of techniques and practical know-how. This is therefore an exciting opportunity
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Shrivenham and will undertake high-quality scholarship and support a range of professional military and security education courses at the postgraduate level. Successful candidates will teach and supervise
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staff students and visitors; and carry out checks of University buildings and external car parking areas in order to prevent the risk of fire, flooding, accident and intrusion. Respond to Safe Zone alarm
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development in topics such as computer vision, audio signal processing, machine learning, deep learning, and/or sensor systems. Experience in collaboration and technology transfer to partners outside
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approaches. Machine Learning in Geotechnical Engineering: Utilising data-driven approaches to model and predict soil-structure interactions or other complex geotechnical problems. Reliability-Based
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Associates and PhD students. We are particularly interested in candidates who bring expertise at the intersection of artificial intelligence, machine learning, and criminology. The successful candidate will