Sort by
Refine Your Search
-
Listed
-
Employer
- Cranfield University
- University of Nottingham
- ;
- ; The University of Manchester
- ; University of Birmingham
- ; Swansea University
- University of Manchester
- ; University of Nottingham
- ; University of Southampton
- University of Cambridge
- University of Sheffield
- ; Newcastle University
- ; The University of Edinburgh
- ; Cranfield University
- ; University of Surrey
- The University of Manchester
- UNIVERSITY OF VIENNA
- ; University of Exeter
- ; University of Oxford
- ; University of Warwick
- Newcastle University
- University of Warwick
- ; City St George’s, University of London
- ; Loughborough University
- Harper Adams University
- The University of Manchester;
- University of Bristol
- University of Exeter
- ; University of Bristol
- ; University of Strathclyde
- ; Brunel University London
- ; Imperial College London
- ; University of Cambridge
- ; University of Leeds
- ; University of Sheffield
- Abertay University
- Durham University
- The University of Edinburgh
- The University of Edinburgh;
- University of Warwick;
- ; Aston University
- ; Coventry University Group
- ; Durham University
- ; King's College London
- ; Lancaster University
- ; UWE, Bristol
- ; University of East London
- ; University of Greenwich
- ; University of Huddersfield
- ; University of Plymouth
- ; University of Sussex
- Coventry University Group;
- Imperial College London
- Kingston University
- Loughborough University
- Loughborough University;
- Manchester Metropolitan University
- Manchester Metropolitan University;
- Oxford Brookes University
- Royal Holloway, University of London
- Swansea University
- UCL
- UNIVERSITY OF EAST LONDON
- University of Birmingham
- University of East Anglia
- University of Greenwich
- University of Hertfordshire
- University of Liverpool
- University of Surrey
- 59 more »
- « less
-
Field
-
scenarios as typically encountered by UK mountain rescue teams and apply innovative biomechanical analysis using Bournemouth University ’s in-vivo 3D motion tracking technology to determine residual motion of
-
Grand Tours, one-day races (monuments and semi-classics), and select World Tour 1-week stage races. The data sources will include video and previous race commentary to ‘code’ key events in races that help
-
Supervised by: Rasa Remenyte-Prescott (Faculty of Engineering, Resilience Engineering Research Group) Aim: Develop a mathematical model for obsolescence modelling for railway signalling and telecoms
-
to achieve, at least a 2.1 honours degree or a master’s in a relevant science or engineering related discipline. Applicants should have strong background in Machine Learning and Deep Learning. To apply, please
-
control laws into Trent gas turbine engines and developed algorithms monitoring fleets of 100s of engines flying all around the world. During the PhD, you will have the opportunity to deeply engage with
-
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
-
and Technology (CST) at the University of Cambridge. The goal of this PhD programme is to launch one "deceptive by design" project that combines the perspectives of human-computer interaction (HCI) and
-
the system’s ability to adapt effectively. For example, during a sudden heatwave, a smart home system must decide whether to prioritise maintaining a comfortable indoor temperature or minimising electricity
-
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
-
physiology etc. This PhD project is suitable for applicants with a background in Electrical and Electronic Engineering or closely related fields. Candidates with a strong interest in RF engineering and/or