182 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" positions at KINGS COLLEGE LONDON
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, of which over 7500 were recruited to research. More information: https://www.kcl.ac.uk/bmeis About The Role The Cardiovascular MRI (CMR) Superintendent Radiographer provides senior clinical, technical and
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to apply Website https://www.timeshighereducation.com/unijobs/listing/405334/senior-lecturer-or-… Requirements Additional Information Work Location(s) Number of offers available1Company/InstituteKINGS
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communities in London; Fostering global citizens with an international perspective. Find out more here - https://www.kcl.ac.uk/about About The Role We are looking for an exceptional Senior Philanthropy
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Details: Clement.1.sefa-nyarko@kcl.ac.uk Where to apply Website https://www.timeshighereducation.com/unijobs/listing/404831/postdoctoral-resear… Requirements Additional Information Work Location(s) Number
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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
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design, control and mechatronics; Publication record in robotics and machine learning, e.g., ICRA, IROS, RSS, CoRL, T-RO, CVPR, ICML; Excellent verbal and written communication skills, including academic
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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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are caused and how people respond to treatments. We will investigate blood and cerebrospinal fluid from patients and use machine-learning to identify the treatment-relevant immune processes, with an emphasis