338 machine-learning-"https:" "https:" "https:" "RAEGE Az" positions at KINGS COLLEGE LONDON
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supporting better patient outcomes. The successful candidate will lead the development of multi-modal MRI foundation models that integrate imaging data and radiology reports. Using advanced deep learning
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from backgrounds, including computational chemistry, bioinformatics, systems biology, physics and machine learning. The project offers a unique opportunity to collaborate closely with experimental
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About us The Department of Informatics is looking to appoint a Reader in Computer Vision Education. This is an exciting time to join us as we continue to grow our department and realise our vision
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Details: informatics-hod@kcl.ac.uk Where to apply Website https://www.timeshighereducation.com/unijobs/listing/404894/reader-in-computer-… Requirements Additional Information Work Location(s) Number
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the past? If so, read on and apply to join our friendly, ambitious work-related learning team who make a huge impact on our students! Our expanding work-related learning offering provides experiential
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. The Centre has expertise in International Education and makes a significant contribution to the rich and diverse make-up of the King’s student body. About the role The Learning Technology Officer will support
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funding from a range of sources. About the role The Department of Informatics at King’s College London is seeking to appoint a Postdoctoral Researcher with expertise in Human-Computer Interaction (HCI) and
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London is seeking to appoint a Postdoctoral Researcher with expertise in Human-Computer Interaction (HCI) and accessibility. This is a fixed-term, four-year research position working on the UKRI Future
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of Mental Health & Psychological Sciences, and our NHS and industry partners. We particularly welcome candidates whose expertise complements existing departmental strengths in machine learning, multimodal
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on quantitative phenotyping via generative modelling of quantitative MRI data. This exciting PhD position combines advanced machine learning with medical imaging physics to develop next-generation tools