97 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"IMEDEA-CSIC-UIB" 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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. 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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renowned for its innovative teaching and cutting-edge research. Our iTEL Hub supports the integration of digital education and technology-enhanced learning (TEL) across the faculty and collaborates with
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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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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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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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combines advanced machine learning with medical imaging physics to develop next-generation tools for biomarker extraction and clinical decision support. You will develop innovative generative models using
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, Nutritional Sciences and Women's Health cluster) for REF was rated as world-leading or internationally excellent. We use this expertise to teach the next generation of health professionals and research
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About us: We are seeking to appoint a postdoctoral research associate with an excellent track record in semantic technologies and machine learning. Topics of interest in this area include, but