Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- KINGS COLLEGE LONDON
- University of London
- ;
- King's College London
- Imperial College London
- Queen Mary University of London
- Royal College of Art
- ; University of Cambridge
- City University London
- King's College London;
- Kingston University
- McGill University
- St George's University of London
- Technical University of Denmark
- The Royal Veterinary College, University of London;
- University of West London
- 6 more »
- « less
-
Field
-
of transparency. The Role As a Postdoctoral Research Associate, you will contribute to both computational and applied aspects of the project, including fabric recognition, multimodal data integration, and AI-led
-
About the Role To undertake research investigations in collaboration with and under the supervision of Prof Gareth Sanger in order to realise the objectives and development of the research programme
-
at the School of Engineering & Materials Science, Queen Mary University of London, working closely with researchers at the Digital Environment Research Institute & Barts Heart Centre. Barts Heart Centre provides
-
supervisor), working with Dr David Watson (Department of Informatics). This position is funded by King’s Climate and Sustainability. The key responsibilities of the role are to develop machine learning
-
subject area for the research programme is essential. Demonstrable experience in computational biology, computer science, statistics or related field. Essential experience in scripting languages to support data
-
Materials Science, a large School with 70-80 academics and a similar number of postdoctoral research staff. There are around 1000 undergraduate and taught postgraduate students and 220 PhD students, supported
-
) programme . The above full-time post is available immediately within the Department of Health and Community Sciences, University of Exeter Medical School. This is a fixed-term position until March 2026. About
-
(first supervisor), working with Dr David Watson (Department of Informatics). This position is funded by King’s Climate and Sustainability. The key responsibilities of the role are to develop machine
-
engineering. We aim to unravel the logic of genome organisation and metabolic control—with the bold vision of building synthetic life. In this role, you will develop and apply computational methods to analyse
-
PhD qualified in mathematical, physical or computational sciences Experience in using machine learning methods to analyse datasets Experience in statistical or scientific programming (ideally R and/or