Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- University of Nottingham
- Cranfield University
- ; Swansea University
- ; The University of Manchester
- ; University of Birmingham
- University of Cambridge
- University of Manchester
- ; University of Exeter
- ; University of Nottingham
- University of Sheffield
- ; Newcastle University
- ; University of Warwick
- ; University of Southampton
- ; University of Reading
- ; The University of Edinburgh
- ; University of Surrey
- University of Oxford
- University of Warwick
- ; Cranfield University
- ; University of Bristol
- Harper Adams University
- ; University of Cambridge
- University of Newcastle
- ; Loughborough University
- ; University of Leeds
- ; University of Oxford
- ; University of Sheffield
- Imperial College London
- UNIVERSITY OF VIENNA
- ; Brunel University London
- ; City St George’s, University of London
- AALTO UNIVERSITY
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; King's College London
- ; Manchester Metropolitan University
- ; University of Plymouth
- ; University of Strathclyde
- University of Liverpool
- ; Aston University
- ; Edge Hill University
- ; University of Bradford
- ; University of East Anglia
- ; University of Sussex
- Abertay University
- Heriot Watt University
- Newcastle University
- ; Imperial College London
- ; Lancaster University
- ; UCL
- ; UWE, Bristol
- ; University of Greenwich
- ; University of Hertfordshire
- Brunel University
- THE HONG KONG POLYTECHNIC UNIVERSITY
- ; Coventry University Group
- ; Durham University
- ; Oxford Brookes University
- ; Royal Northern College of Music
- ; St George's, University of London
- ; The Open University
- ; University of East London
- ; University of Huddersfield
- ; University of Hull
- ; University of Kent
- ; University of Stirling
- Aston University
- Durham University
- Heriot-Watt University;
- KINGS COLLEGE LONDON
- Nature Careers
- Nottingham Trent University
- UNIVERSITY OF EAST LONDON
- UNIVERSITY OF MELBOURNE
- UNIVERSITY OF SOUTHAMPTON
- University of Glasgow
- University of Leicester
- 67 more »
- « less
-
Field
-
may be possible, please contact Professor Kamalan Jeevaratnam once the deadline passes. You will need to meet the minimum entry requirements for our PhD programme . This is an interdisciplinary project
-
Porous construction materials, such as concrete, brick, or wood, are widely utilised in built environments due to their structural strength, durability, and thermal mass. However, their susceptibility to water ingress can lead to issues such as surface degradation, internal cracking, frost...
-
(IoT) device ecosystem. Despite the technology’s potential, however, flexible electronics face numerous technology challenges. This PhD project aims to tackle one of the most critical technology
-
to maximize this impact throughout the PhD programme. Given a focus on body weight and strategies to reduce this, with consideration for sustainability and current consumer preferences for naturalness
-
collection of evidence of impact through communication activities, feature-limited software releases and efforts to inform policy. Candidates for this PhD should have a strong foundation in computer
-
opportunity to interact with partners from the UK's Food Authenticity Network and to join a wider network of collaborators working to ensure the authenticity of natural products. During your PhD, you will
-
This 3.5-year PhD is funded by the University of Manchester and is open to UK students. The funding covers the cost of tuition fees and a standard tax-free stipend (based on the UKVI rate which is
-
This PhD opportunity at Cranfield University invites candidates to explore the integration of AI into certification and lifecycle monitoring processes for safety-critical systems. The project delves
-
Overview Location: College Lane Campus Programme Description The Centre for MoDDD at the University of Hertfordshire invites applications for a PhD candidate to join a 3-year QR funded research
-
supporting the Net Zero 2050 target. This PhD project will develop an AI-enabled framework that optimizes wind turbine control and predictive maintenance. Using Deep Reinforcement Learning (DRL), the system