Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- Cranfield University
- University of Nottingham
- ; The University of Manchester
- ; Swansea University
- ; University of Birmingham
- University of Cambridge
- University of Sheffield
- ; University of Exeter
- ; University of Southampton
- ; Cranfield University
- ; Newcastle University
- ; The University of Edinburgh
- ; University of Nottingham
- ; University of Warwick
- University of Manchester
- ; University of Surrey
- ; City St George’s, University of London
- ; University of Bristol
- ; Brunel University London
- ; Loughborough University
- ; University of Oxford
- ; University of Sheffield
- Imperial College London
- University of Newcastle
- ; Edge Hill University
- ; University of Cambridge
- ; University of Strathclyde
- AALTO UNIVERSITY
- UNIVERSITY OF VIENNA
- University of Oxford
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; Lancaster University
- ; University of East Anglia
- ; University of Greenwich
- ; University of Leeds
- ; University of Reading
- Abertay University
- Harper Adams University
- University of Liverpool
- ; Aston University
- ; Coventry University Group
- ; Durham University
- ; Imperial College London
- ; Manchester Metropolitan University
- ; Royal Northern College of Music
- ; St George's, University of London
- ; UCL
- ; University of Bradford
- ; University of Copenhagen
- ; University of Hertfordshire
- ; University of Plymouth
- ; University of Sussex
- Aston University
- Heriot Watt University
- KINGS COLLEGE LONDON
- University of Glasgow
- 47 more »
- « less
-
Field
-
. The enhanced image quality will support earlier and more reliable detection of eye diseases. Combining artificial intelligence with mathematical modelling, this non-invasive, cost-effective approach has
-
student with an aerospace, mechanical engineering, or physics background. Experience of experimental and computational modelling of icing physics, instrumentation and imaging techniques would be
-
learning models, especially when new training experiences are corrupted. The framework will be validated in robotic control scenarios during EV battery assembly. As a PhD student, you will work with both
-
will lead the development of novel motor topologies optimised for this cutting-edge material. Supported by experienced supervisors, the student will be able to design, model, and validate working
-
Supervisory Team: Prof Neil Sandham PhD Supervisor: Neil Sandham Project description: This project is focused on scale-resolving simulations (large-eddy and direct numerical simulation) combined
-
performance and explore the use of an ultrasonic sensor for real-time monitoring. Experiment with ultrasonic sensors for real-time seal gap measurement. Combine experimental research and mathematical modelling
-
strategies for robust statistical models. The project’s scope will be tailored to the candidate’s expertise, offering opportunities for innovation and impact. The successful applicant will join a dynamic
-
will engage with national and international policy contexts, drawing on integrated assessment model (IAM) outputs to explore trade-offs and policy levers for guiding strategies for near- and long-term
-
). Access to cutting-edge facilities, including advanced microscopy, controlled environment growth rooms, genomics, proteomics, and metabolomics platforms. Opportunities to work across model and crop species
-
machine structures, together with AI-driven optimization frameworks for diverse applications while considering LCA metrics. The success of this project could serve as a model for other energy-related