Sort by
Refine Your Search
-
Listed
-
Employer
- Cranfield University
- University of Nottingham
- The University of Manchester
- Imperial College London;
- Loughborough University
- University of Bristol
- University of Cambridge
- University of East Anglia
- University of Oxford;
- University of Surrey
- University of Warwick
- ;
- ; University of Exeter
- Cranfield University;
- European Magnetism Association EMA
- Newcastle University
- Newcastle University;
- Oxford Brookes University
- Swansea University
- Swansea University;
- The University of Manchester;
- UCL;
- UNIVERSITY OF VIENNA
- University of Birmingham
- University of Birmingham;
- University of Cambridge;
- University of Exeter
- University of Exeter;
- University of Kent;
- University of Leeds
- 20 more »
- « less
-
Field
-
data are needed to enhance our understanding of sources, pathways and impact of litter. Cefas is developing a visible light (VL) deep learning (DL) algorithm and collected a large 89 litter category
-
) develop novel performance metrics combining accuracy and explainability, to be tested across different AI model types; (2) devise new algorithms for selecting models optimised for holistic performance
-
postgraduate degree. For more information on English language requirements, please visit this page . Further details The School of Computing at the University of Kent and Huawei invites applications for 2 fully
-
designed to meet multiple needs in marine biodiversity monitoring. The project aims to develop embedded novel deep learning and computer vision algorithms to extend the system’s capabilities to classify
-
Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Proposed topic “Creating a National Digital Twin for self-harming
-
Applications are invited for a University of Warwick PhD Studentship in The Department of Computer Science in collaboration with the Department of Psychology. The PhD will start October 2026
-
representation. Key aims include improving the generalizability, interpretability, reasoning and causal grounding of these models, developing new optimisation algorithms with biologically meaningful regularisation
-
-Making and Route Optimisation: Develop adaptive algorithms within a bias-aware ensemble Kalman filter framework to propose alternative flight paths dynamically. The system will aim to maximise safety and
-
. Analysis of images will investigate the efficacy of manual digital approaches (e.g., Dot Dot Goose) and the development of a marine litter characterisation and quantification algorithm for automated analysis
-
Zero transport strategy. Outcomes will include novel AI algorithms, validated navigation architectures, and new insights into next-generation intelligent mobility solutions. The student will undertake