Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- University of Nottingham
- ; University of Birmingham
- Cranfield University
- ; University of Nottingham
- KINGS COLLEGE LONDON
- UNIVERSITY OF VIENNA
- ; Swansea University
- ; University of Southampton
- AALTO UNIVERSITY
- The University of Manchester;
- University of Oxford
- ; Aston University
- ; Durham University
- ; The Open University
- ; The University of Edinburgh
- ; University of Greenwich
- Bangor University
- Durham University
- Harper Adams University
- Imperial College London
- King's College London
- Loughborough University
- Loughborough University;
- UNIVERSITY OF MELBOURNE
- University of Birmingham
- University of Cambridge
- University of Exeter
- University of Glasgow
- University of Liverpool
- University of Newcastle
- University of Sheffield
- 22 more »
- « less
-
Field
-
language. Motivation, flexibility, sense of responsibility, ability to listen and compromise, autonomy, and problem-solving skills. Ability to work with a small cutting edge commercial/academic technology
-
want everyone to feel that they belong and are connected to others in our community. We are committed to working with our staff and unions on these and other issues, to continue to support our people and
-
career, and you feel it relevant, let us know about it in your application. If you are a candidate with a disability, we are committed to ensuring fair treatment throughout the recruitment process. We
-
AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
predictive and explainable digital twins. The core challenge this PhD will tackle is how to help digital twins make sense of complex, messy maintenance data and turn it into clear, useful insights
-
inclusion and encourages applications from all sections of society. The Faculty of Engineering (FoE) provides a thriving working environment for all Postgraduate Researchers (PGRs) creating a strong sense of
-
kW’s) and self-sustainable systems. Ultimately, reducing the costs associated with exploration of remote, extreme maritime environments by realising self-powered robotic systems which recover the ambient
-
disruptive aircraft configurations involves combining advanced engineering practices, including computing power, sensing, AI/ML, and system-level engineering. Comprehensive verification and validation
-
. This involves 'handcrafted' expert systems, which are good at reasoning about narrowly defined problems, but poor at handling uncertainty and have no ability to learn or abstract/generalise. In that sense