Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- Cranfield University
- University of Nottingham
- University of Cambridge
- ; The University of Manchester
- ; Swansea University
- ; University of Birmingham
- University of Manchester
- ; University of Nottingham
- University of Sheffield
- ; University of Southampton
- ; University of Exeter
- ; University of Warwick
- ; Newcastle University
- ; The University of Edinburgh
- Harper Adams University
- ; Cranfield University
- University of Newcastle
- University of Oxford
- UNIVERSITY OF VIENNA
- ; University of Oxford
- ; University of Sheffield
- AALTO UNIVERSITY
- Imperial College London
- University of Warwick
- ; Loughborough University
- ; University of Cambridge
- ; University of Surrey
- ; Brunel University London
- ; City St George’s, University of London
- ; Edge Hill University
- ; King's College London
- ; Manchester Metropolitan University
- ; University of Bristol
- ; University of Plymouth
- ; University of Strathclyde
- ; University of Sussex
- Abertay University
- University of Liverpool
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; Imperial College London
- ; University of Leeds
- ; University of Reading
- Heriot Watt University
- Newcastle University
- University of Bristol
- ; Aston University
- ; Durham University
- ; Lancaster University
- ; UWE, Bristol
- ; University of East Anglia
- ; University of East London
- ; University of Greenwich
- ; University of Hertfordshire
- ; University of Huddersfield
- ; University of Hull
- ; University of Stirling
- Aston University
- Aston University;
- Brunel University
- Durham University
- Heriot-Watt University;
- Manchester Metropolitan University
- Nature Careers
- Newcastle University;
- Swansea University
- The University of Manchester
- The University of Manchester;
- UNIVERSITY OF EAST LONDON
- UNIVERSITY OF MELBOURNE
- UNIVERSITY OF SOUTHAMPTON
- University of Bristol;
- University of Cambridge;
- University of Glasgow
- University of Greenwich
- University of Hertfordshire;
- University of Leicester
- University of Plymouth
- 68 more »
- « less
-
Field
-
Project: More women are living with and beyond breast cancer than ever before. However, returning to work post breast cancer treatment is an important but potentially challenging event. As such
-
, and low-carbon innovations in cereal and barley production. Our PhD projects are delivered in partnership with industry and involve: Work placement of 3 months+ in the industry environment
-
predictive model and conduct a sensitivity study to investigate the multiple factors on the performance of the flow meter. Funding The student will be in receipt of a stipend payment; the Research Council
-
operation of autonomous systems in complex, real-world conditions. This PhD project aims to develop resilient Position, Navigation and Timing (PNT) systems for autonomous transport, addressing a critical
-
eligibility criteria Planned research should relate to the productivity performance of developed economies and to the research areas of The Productivity Institute. This covers firm performance, skills and
-
, exercise sciences, biomedical sciences, neuroscience or a similar). Experience with physiological assessments from activities in a research or clinical environment. Ability to work independently and as part
-
. Ability to work independently and as part of a multidisciplinary team. Core skills include: Proficiency in data analysis and interpretation. Familiarity with research methodologies and clinical guidelines
-
confidence that these technologies are qualified for industrial scale deployment. The research will involve comprehensive performance, qualification and safety tests on electrolyser single cells and short
-
Ability to work independently and as part of a team Previous experience of participating in international research project will be considered an advantage. How to apply Applicants must be UK nationals
-
AI-Driven Digital Twin for Predictive Maintenance in Aerospace - In Partnership with Rolls-Royce PhD
generate vast amounts of operational and maintenance data, much of it remains fragmented and underutilized. Unlocking insights from this unstructured data could enable earlier fault detection, improved