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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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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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Surrey’s track record of translating fundamental machine learning, spatial audio and audio-visual AI into groundbreaking creative technology. About you We seek a talented Research Fellow to investigate
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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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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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of manufacturing. We have identified an opportunity to combine continuous microfluidic (µF) process models, process analytical techn ology (PAT) and machine learning (ML) to achieve a paradigm shift in bioprocess
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new programming languages, libraries and technologies. Any prior experience working with frontend/backend web development, machine learning, or high performance computing would be desirable, as would
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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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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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with a strong knowledge of current computing practice and be able to teach a range of computing subjects, including Cyber Security, Programming, Algorithms, Computer Logic and Architecture, Software