Sort by
Refine Your Search
-
Category
-
Employer
- The University of Manchester
- Newcastle University
- University of Warwick;
- University of Warwick
- University of Birmingham
- University of Exeter
- University of East Anglia
- University of Nottingham
- Manchester Metropolitan University
- University of Cambridge;
- University of Oxford
- University of Manchester
- University of Plymouth
- Durham University
- Imperial College London
- Manchester Metropolitan University;
- Newcastle University;
- Oxford Brookes University
- The University of Manchester;
- University of Bedfordshire
- University of Cambridge
- University of Liverpool
- University of Salford
- University of Sheffield
- University of Surrey
- University of Sussex
- City St George's, University of London (Tooting);
- Cranfield University
- Harper Adams University
- King's College London
- Northeastern University London
- The Rosalind Franklin Institute
- University of Bath
- University of Birmingham;
- University of Bristol
- University of Exeter;
- University of Sheffield;
- 27 more »
- « less
-
Field
-
expertise, and engagement with industrial partners driving innovation in aerospace materials. We welcome applications from motivated candidates with a background in materials science, mechanical engineering
-
insights for streaming, broadcast, accessibility and media production. Candidate profile Applicants should have a background in machine learning, audio engineering, speech processing or a related discipline
-
Brushless Doubly Fed Machines (BDFMs) are emerging as a promising technology for offshore wind turbine generators due to their fractional-sized power converters, elimination of rotor brushes and
-
motivated students with a strong background in engineering or computer science. The ideal candidate will have: Strong programming and software skills. An awareness of machine learning theory and techniques
-
Computing & Digital Technology. Please complete the Doctoral Project Applicant Form , and include your CV and a covering letter to demonstrate how your skills and experience map to the aims and objectives
-
universities (The University of Manchester , University of Glasgow and University of Oxford ). Robotics and Autonomous Systems (RAS) is an essential enabling technology for the Net Zero transition in the UK’s
-
and Autonomous Systems (RAS) is an essential enabling technology for the Net Zero transition in the UK’s energy sector. However, significant technological and cultural barriers are limiting its
-
expertise in hydrology, geomorphology, community co-development and social science? Based in the Department of Civil and Environmental Engineering, you will contribute to the research project ‘CONVERSE
-
predictive models of formation alteration. The project is funded by Eni S.p.A through the UK Energy Futures (ukenergyfutures.org ). research partnership, bringing together geoscientists, engineers, and social
-
decisions. The project is funded by Eni S.p.A through the UK Energy Futures (https://ukenergyfutures.org ). research partnership, bringing together geoscientists, engineers, and social scientists to advance