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of Manchester and the University of Birmingham. The project belongs to the Mathematics for Safe AI funding stream, which aims at assessing how we can leverage mathematics – from scientific world-models
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Stappers who leads the MeerTRAP, TRAPUM and PSS-SKAO teams at the University of Manchester, and will be a member of a team of developers with international industry and academia backgrounds. The team
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, and use smart phone apps to collect passive and active data using a prospective observational cohort study design. We will use this data to develop and validate a personalised risk prediction algorithm
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objects, by embedding them into a 2 or 3-dimensional space through a representation learning algorithm, has been widely used for data exploratory analysis. It is particularly popular in areas such as
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input needs, accompanied by a boost in algorithmic development, e.g., multi-modal learning, transfer learning, federate learning, and knowledge embedding, etc. However, a significant motivation of
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Research theme: Chemometrics The project is jointly funded by the Community of Analytical Measurement Sciences and the University of Manchester Department of Chemistry. The successful candidate will
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at RAICo One Facility in West Cumbria. The applicant will have a unique opportunity to work in close partnership with robotics, control and AI experts from the University of Manchester, Sellafield Ltd and
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, stress markers, EEG, and ECG — will be collected by VR headsets and IoT devices. ML algorithms will analyse this data to identify trends, project risk factors, and propose tailored treatments. By combining
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Artificial Intelligence for Net Zero Centre (RAINZ) which is a partnership between three of the UKs leading universities (The University of Manchester , University of Glasgow and University of Oxford
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on the edge of the Lake District National Park, in West Cumbria. The University of Manchester Robotics for Extreme Environments Group is at the forefront of nuclear field robotics and has deployed many robots