Sort by
Refine Your Search
-
Listed
-
Employer
- ;
- UNIVERSITY OF SOUTHAMPTON
- ; University of Glasgow
- Birmingham City University
- CRANFIELD UNIVERSITY
- Cranfield University
- Imperial College London
- Manchester Metropolitan University
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- The University of Southampton
- UNIVERSITY OF SURREY
- University of Birmingham
- University of Liverpool
- University of Nottingham
- University of Oxford
- 5 more »
- « less
-
Field
-
or create an account to save a job. Get job alerts Create a job alert and receive personalised job recommendations straight to your inbox. Create alert Similar jobs Research Fellow (Artificial Intelligence
-
engineering, computer science, applied mathematics, statistics, artificial intelligence, audio engineering, or a related subject; and research experience in research experience in audio signal processing, audio
-
engineering, computer science, applied mathematics, statistics, artificial intelligence, audio engineering, or a related subject; and research experience in research experience in audio signal processing, audio
-
for extension You will be part of the EPSRC National Edge Artificial Intelligence Hub, a strategic investment by the UK Research and Innovation (UKRI) to advance fundamental research protecting data quality and
-
. The role Surrey’s Institute for People-centred Artificial Intelligence (PAI) leads AI activities for the CoSTAR National Lab for R&D in Creative Technology. The CoSTAR National Lab, led by Royal Holloway
-
) or professional experience equivalent to a PhD demonstrating an ability to carry-out independent research with a 1st Class/2.1 Degree in an appropriate subject such as computer science, artificial intelligence
-
duration until 16/06/2027 with potential for extension You will be part of the EPSRC National Edge Artificial Intelligence Hub, a strategic investment by the UK Research and Innovation (UKRI) to advance
-
Humanities, under the aegis of the Faculty of Philosophy. The Institute will build upon the University’s world-class capabilities in the humanities to lead the study of the ethical implications of artificial
-
narratives that are relevant to them. To facilitate finding suitable narratives, we aim to design and evaluate a machine learning based artificial intelligence recommender system to filter narratives based
-
density functional theory (DFT) methods integrated with data-driven artificial intelligence techniques. Research may encompass the development and application of machine learning force fields, high