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will deliver projects that leverage large-scale electronic health record data and rich cytometry data derived from full blood count analysers to develop and refine machine learning models to improved
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effectively in a multi-disciplinary team environment. About the School/Department/Institute/Project The Rosenfeld lab (http://www.rosenfeldlab.org/ ) at the Barts Cancer Institute, Queen Mary University
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Structure and Motion Laboratory, a multi-disciplinary research group investigating different aspects of animal structure and movement. The post holder will join Professor Richard Bomphrey’s research group
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-scale structures in different regions of space. The key data comes from recent missions (SolarOrbiter, ParkerSolarProbe, BepiColombo) and databases of MagnetosphericMultiScale and Messenger. About You The
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of Excellence for 12 months. The successful applicant will lead a multi-organisation collaborative project focused on leveraging novel epigenetic datasets obtained from patient-derived tumour stem cells
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2025. We seek to recruit a Research Associate specialising in statistical modelling and machine learning to join our multi-university multi-disciplinary team developing a groundbreaking technique based
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with large-scale longitudinal datasets to explore gene–environment interplay and developmental risk pathways. The successful candidate will join a vibrant research team based at Royal Holloway
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aims to address challenges of personalised dementia care planning involving people without informal carers, with a focus on integrating primary and social care support. The post is part of a large multi
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initiatives for the multi-country research project, CoastARTS, led by Professor Helen Gilbert and funded by the Arts and Humanities Research Council in collaboration with national councils in Ireland, Portugal
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Motion Laboratory, a multi-disciplinary research group investigating different aspects of animal structure and movement. The post holder will join Professor Richard Bomphrey’s research group to work on a