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- KINGS COLLEGE LONDON
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- UNIVERSITY OF OXFORD - NUFFIELD COLLEGE
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at scale. About You Applicants should preferably have an MSc/PhD in Computer Science/Engineering. They should have expertise in distributed systems and computer networks. Excellent knowledge and practical
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representation, knowledge engineering, linked data. About the role The successful candidate will join the Distributed AI (DAI) group in the Department of Informatics, King’s College London. They will carry out
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robotics, mechanical engineering or a similar engineering field. The job requires an in-depth knowledge about soft inflatable/eversion robotics, sensor data acquisition and processing, computer and system
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working under pressure For further information about this position and to apply, visit http://jobs.sgul.ac.uk . The School of Health and Medical Sciences is committed to promoting equality, diversity and
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corresponding imaging data. Our partnership with the UCLH Biomedical Research Centre and NIHR Hearing Health Informatics Collaborative provides a strong foundation for translational research. We value technical
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women's health. We also have thriving research programmes in global health, and health and social care. Further information about the Faculty of Life Sciences and Medicine may be found at https
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. Machine learning/atmospheric science/satellite data processing experience preferred but not required Creative problem-solving skills and ability to work independently *Candidates with a PhD in other
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women's health. We also have thriving research programmes in global health, and health and social care. Further information about the Faculty of Life Sciences and Medicine may be found at https
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women's health. We also have thriving research programmes in global health, and health and social care. Further information about the Faculty of Life Sciences and Medicine may be found at https
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Job id: 116225. Salary: £44,355 - £51,735 per annum including London Weighting Allowance. Posted: 29 May 2025. Closing date: 05 June 2025. Business unit: Faculty of Life Sciences & Medicine