Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- Cranfield University
- University of Nottingham
- ; The University of Manchester
- ; University of Southampton
- University of Cambridge
- ; University of Birmingham
- ; University of Nottingham
- ; University of Warwick
- ; University of Bristol
- ; Swansea University
- University of Sheffield
- ; Cranfield University
- ; The University of Edinburgh
- ; Newcastle University
- ; University of Oxford
- ; University of Sheffield
- AALTO UNIVERSITY
- University of Manchester
- ; Brunel University London
- ; City St George’s, University of London
- ; Loughborough University
- ; University of Exeter
- ; University of Surrey
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; University of Cambridge
- ; University of Leeds
- ; University of Sussex
- Brunel University
- Imperial College London
- Newcastle University
- UNIVERSITY OF VIENNA
- University of Newcastle
- ; Aston University
- ; Coventry University Group
- ; Durham University
- ; Imperial College London
- ; King's College London
- ; Lancaster University
- ; UCL
- ; University of Reading
- ; University of Strathclyde
- Abertay University
- Harper Adams University
- Heriot Watt University
- THE HONG KONG POLYTECHNIC UNIVERSITY
- University of Oxford
- 37 more »
- « less
-
Field
-
communication. Entry requirements Applicants should hold or expect to achieve an equivalent of a first or second-class UK honours degree in materials science, physics, engineering, or a related discipline. The
-
deployments. Candidate Requirements Applicants should have (or expect to receive) a UK 1st class, 2:1 or equivalent in electronic engineering, physics, or a closely related discipline. Experience with
-
harness advanced techniques such as machine learning, optimization algorithms, and sensitivity analysis to automate and enhance the mode selection process. The result will be a scalable methodology that
-
transmission is a foundational technology for modern power systems, efficiently delivering electricity over long distances and enabling the integration of remote renewable energy sources. As renewable
-
to produce cutting-edge research. Prospective applicants must: Hold a good honours degree in Physics, Maths, Engineering, or a related discipline. Be familiar with differential equations and have some
-
the recording of substrate-borne vibrations produced by earthworms (and other invertebrates) in situ. To fully exploit this emerging technology there is a need to unravel the meaning within the data. As such
-
Department/Location: Department of Engineering, Central Cambridge A position exists, for a Research Assistant/Associate in the Department of Engineering, to work on experimental investigations
-
interdisciplinary team working on the development of cross-platform alignment technologies that integrate material science, process engineering and sustainability analysis to deliver scalable solutions for circular
-
.html and here https://www.eng.cam.ac.uk/news/engineering-better-car-experience . Four years of full funding is provided by the UK's Engineering and Physical Sciences Research Council (EPSRC) and JLR
-
Computational verification of high-speed multi-material flows, where physical experimentation is highly limited, is seen as critical by the defence Sector (source: the UK Atomic Weapons