Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- Cranfield University
- University of Nottingham
- ; Swansea University
- ; The University of Manchester
- ; University of Birmingham
- ; University of Warwick
- ; University of Nottingham
- ; University of Southampton
- University of Cambridge
- University of Newcastle
- ; Cranfield University
- ; Newcastle University
- ; University of Reading
- ; Brunel University London
- ; City St George’s, University of London
- ; Loughborough University
- ; Manchester Metropolitan University
- Harper Adams University
- UNIVERSITY OF VIENNA
- University of Manchester
- ; Edge Hill University
- ; The University of Edinburgh
- ; University of Bristol
- ; University of Exeter
- ; University of Oxford
- ; University of Sheffield
- ; University of Surrey
- ; University of Sussex
- Abertay University
- Brunel University
- Imperial College London
- University of Liverpool
- ; Coventry University Group
- ; Durham University
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; King's College London
- ; Lancaster University
- ; Queen's University Belfast
- ; St George's, University of London
- ; UWE, Bristol
- ; University of Cambridge
- ; University of East Anglia
- ; University of Greenwich
- ; University of Hertfordshire
- ; University of Hull
- ; University of Kent
- ; University of Leeds
- ; University of Stirling
- ; University of Strathclyde
- Durham University
- Heriot Watt University
- KINGS COLLEGE LONDON
- Nottingham Trent University
- University of Oxford
- University of Sheffield
- 46 more »
- « less
-
Field
-
to agricultural landscapes and the objective of this project is to track recovery of microbial and soil diversity and functions at restored sites. This three-year scholarship is funded by Edge Hill University but
-
expect the stipend to increase each year. The overarching goal of this project is to discover new Metal-Organic Frameworks (MOFs) that excel in hydrogen energy-related applications. The UK government
-
the risk of missed defects. Using the power of Artificial Intelligence (AI), this research aims to: Automate defect detection in complex 3D structural data Enhance diagnostic accuracy and processing speed
-
perpetuation (or maintenance/persistence); to build ML models that include the heart’s physical properties to find patterns in the data and predict which areas in the heart drive AF. This project will explore
-
to discover new materials for Next Generation Photovoltaics. You should have a PhD in Chemistry, Physics or Materials Science, a strong publication track record and a demonstrated commitment to excellence
-
applicants Applicants must secure support from a QBS academic supervisor prior to applying (potential supervisors can be found here: Academic Staff Profiles or Find a PhD Supervisor ) Proposals must be
-
. If we receive a strong field of candidates, we may use the desirable criteria to choose our final shortlist, so please include your evidence against these where possible. To find out how our managers
-
and methods. You can find faculty research interests on the staff web pages. If you have any general queries, please contact the PhD Director, Dr David Baxter, e-mail: d.baxter@soton.ac.uk and
-
these findings should be used to design AI agents that actually warrant our trust. You can find more information about our work and approach at the Project Website: https://research.kent.ac.uk/trust-moral-machines
-
students are welcome to apply, but should note that the award will cover only the home fee amount (c. £5,000); the remaining international fee must be self-funded. You can find more information on the