275 engineering-computation "https:" "https:" "https:" "https:" "U.S" positions at KINGS COLLEGE LONDON
Sort by
Refine Your Search
-
United Kingdom Application Deadline 2 Jan 2026 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
-
Modelling and Health Informatics: https://www.kcl.ac.uk/study/postgraduate-taught/courses/applied-statistical-modelling-health-informatics About the role: Lecturer in Digital Health, Health Informatics and
-
. 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
-
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
-
About Us The London Institute for Healthcare Engineering (LIHE) is part of the School of Biomedical Engineering & Imaging Sciences in the Faculty of Life Sciences & Medicine at King’s College London
-
core member of the King’s Clinical Academic Training Office (KCATO); this role in particular will have overall programme management of the fellowship schemes funded by the King’s Health Partners Centre
-
, and translating cutting-edge methods into improved health outcomes. https://www.kcl.ac.uk/bhi About the MSc in Applied Statistical Modelling and Health Informatics: https://www.kcl.ac.uk/study
-
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
-
Modelling and Health Informatics: https://www.kcl.ac.uk/study/postgraduate-taught/courses/applied-statistical-modelling-health-informatics About the role: Lecturer in Digital Health, Health Informatics and
-
are not limited to: natural language processing, large language models, graph learning, prompt engineering, knowledge graphs, knowledge engineering, linked data, web technologies. About the role