Sort by
Refine Your Search
-
Listed
-
Employer
- University of Oxford
- KINGS COLLEGE LONDON
- AALTO UNIVERSITY
- University of Oxford;
- King's College London
- Durham University
- DURHAM UNIVERSITY
- Bournemouth University;
- Imperial College London
- King's College London;
- Lancaster University
- Royal College of Art;
- The University of Edinburgh;
- UNIVERSITY OF VIENNA
- University of Kent;
- University of Liverpool
- University of Liverpool;
- University of London
- 8 more »
- « less
-
Field
-
interdisciplinary research and teaching at the intersection of the humanities and computational methods. The successful candidate will join the Computational Humanities research group, a vibrant and collaborative
-
computational semantics models, word sense disambiguation, or semantic change detection Proficiency in Python and relevant NLP libraries Experience working with large-scale corpora or annotation pipelines Strong
-
Join the Oxford Martin Programme on Forecasting Technological Change at the University of Oxford, led by Dr François Lafond, Prof J. Doyne Farmer, and Prof Max Roser. This pioneering programme aims
-
interdisciplinary research and teaching at the intersection of the humanities and computational methods. The successful candidate will join the Computational Humanities research group, a vibrant and collaborative
-
computational semantics models, word sense disambiguation, or semantic change detection Proficiency in Python and relevant NLP libraries Experience working with large-scale corpora or annotation pipelines Strong
-
Language Processing, or a closely related field* Demonstrated experience with computational semantics models, word sense disambiguation, or semantic change detection Proficiency in Python and relevant NLP libraries
-
projects in computer vision research, with a particular emphasis on Spatial Intelligence, 3D Computer Vision, and 3D Generative AI. You should hold a relevant PhD/DPhil (or near completion*) in Computer
-
Research Council (MRC) and the National Institute for Health and Care Research (NIHR), the project aims to advance artificial intelligence (AI) methods that improve the reliability of clinical prediction
-
interdisciplinary research and teaching at the intersection of the humanities and computational methods. The successful candidate will join the Computational Humanities research group, a vibrant and collaborative
-
intelligence (AI) for application in medicine, with a primary focus on optimizing clinical trial design. The partnership will bring together the University of Oxford’s expertise in statistics, mathematics