Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Cranfield University
- University of Exeter
- University of Nottingham
- Newcastle University
- Newcastle University;
- Swansea University
- University of Exeter;
- Imperial College London;
- Loughborough University
- The University of Manchester
- University of Birmingham
- University of Bristol
- University of East Anglia
- University of Newcastle
- University of Oxford;
- University of Surrey
- University of Warwick
- ;
- Cranfield University;
- European Magnetism Association EMA
- Manchester Metropolitan University;
- Oxford Brookes University
- Swansea University;
- The University of Edinburgh;
- UCL
- UCL;
- UNIVERSITY OF VIENNA
- University of Birmingham;
- University of Bristol;
- University of Cambridge
- University of Cambridge;
- University of Kent;
- University of Leeds
- University of Surrey;
- University of Warwick;
- 25 more »
- « less
-
Field
-
modelling becomes crucial for developing effective mitigation and adaptation strategies for marine infrastructure. Within the Institute of Infrastructure and Environment, we maintain a track record in the
-
will include race videos, rider power and speed data, and race commentary to codify key race events, using expert knowledge and available evidence. - Develop a post-race analysis framework, process, and
-
project aims to develop state-of-the-art computational methods to optimise the quality of doubly curved shell structures manufactured from recycled, short-fibre composites. A particular novelty of the
-
adaptation of the mesh during simulation to resolve and track features in the flow. The focus of your PhD would be on developing novel algorithms to efficiently redistribute and rebalance the parallel
-
instrumentation of the structure, whilst effective, can be logistically expensive to implement for the entire network. To address these challenges, the project aims to develop a novel, population-based indirect
-
person. Aims: The project aims to develop and evaluate AI methods for medical image analysis to detect diabetic retinopathy, glaucoma, cataract and age-related macular degeneration (AMD). As
-
behaviour in a practical, real-time monitoring system requires advances in both sensor engineering and behavioural data interpretation. This PhD project aims to develop a next generation environmental
-
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
-
mission. You will: Help collate data resources relevant to suicide and self-harm. Develop new machine learning methodologies (from artificial neural networks, decision trees, evolutionary algorithms and
-
, the project will develop algorithms for ecological sensing, adaptive motion planning, and energy optimisation under real-world constraints. Scaled experiments and high-fidelity simulations will validate system