183 structural-engineering "https:" "https:" "https:" "https:" "UCL" "UCL" uni jobs at KINGS COLLEGE LONDON
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, including undergraduate health professions programmes (Medicine, Nutrition & Dietetics, Pharmacy, Physiotherapy) and a wide-range of BSc and MSci programmes in the biomedical sciences / biomedical engineering
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for King’s Engineering. We offer undergraduate and postgraduate education, with a distinctive approach, combining traditional teaching methods with modern, project-based learning, catering for the needs of our
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Engineers to join our busy Desktop teams. EUS Desktop Services support a wide range of users and their IT requirements, from basic troubleshooting and support, to provisioning new kit. We ensure the King’s
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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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for King’s Engineering. We offer undergraduate and postgraduate education, with a distinctive approach, combining traditional teaching methods with modern, project-based learning, catering for the needs of our
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resolution, contemporary and historical warfare, gender, international relations, migration and borders, security studies, strategic studies, technology and violence. The Department is located within
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About Us The Engineering Team at King’s College London is responsible for all reactive, planned and statutory maintenance for all campuses. The Engineering Asset Manager will sit within
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partnership with the Centre for Longitudinal Studies (CLS) at UCL. About the role You will work closely with Professor Jayati Das-Munshi (KCL) and Professor George Ploubidis and Dr Dario Moreno-Agostino (UCL
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budgets, contracts, and collaborations across leading institutions (KCL, UCL, and Stanford), supporting clinical trial-related activities of novel digital mind-body therapies, and facilitating research
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-centred mental health care. The postholder will play a central role in collecting and analysing large-scale speech and wearable data from participants in the GLAD Study cohort (https://gladstudy.org.uk