Sort by
Refine Your Search
-
Listed
-
Employer
- ;
- Cranfield University
- University of Nottingham
- ; Swansea University
- ; The University of Manchester
- ; University of Birmingham
- ; University of Exeter
- ; The University of Edinburgh
- ; University of Nottingham
- ; Cranfield University
- ; University of Reading
- ; Newcastle University
- ; University of Warwick
- University of Manchester
- ; Loughborough University
- ; University of Leeds
- ; University of Southampton
- ; University of Surrey
- ; City St George’s, University of London
- ; King's College London
- ; University of Sheffield
- UNIVERSITY OF VIENNA
- ; Brunel University London
- ; Edge Hill University
- ; Manchester Metropolitan University
- ; University of Bradford
- ; University of Cambridge
- ; University of Strathclyde
- ; University of Sussex
- University of Cambridge
- ; Lancaster University
- ; University of Bristol
- ; University of Greenwich
- Abertay University
- University of Liverpool
- ; Aston University
- ; Durham University
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; Imperial College London
- ; London South Bank University
- ; Royal Northern College of Music
- ; St George's, University of London
- ; UWE, Bristol
- ; University of East Anglia
- ; University of Hertfordshire
- ; University of Plymouth
- ; University of Stirling
- Harper Adams University
- University of East London
- University of Newcastle
- University of Sheffield
- University of Warwick
- 42 more »
- « less
-
Field
-
. Applying machine learning to New Zealand’s landslide inventories to model landslide location, character and dynamics. Integrating time-series and inventory data to develop new models to predict location
-
) techniques developed at UEA to study the interaction of small molecules with Umami receptors overexpressed directly on the surface of live cells (2). You will thus establish ‘rules’ determining which molecular
-
relationship between brain structure, myelin distribution and genetic factors in MS. Research Focus: Recently, computational pipelines have been developed to integrate genetic and imaging databases
-
potential around the UK and Ireland. This PhD project aims to develop and assess the feasibility of various novel fixed-bottom solutions for deep-water wind turbine deployment from structural and economic
-
, dedicated to generating original knowledge and understanding of air and space power issues. FASI places a priority on identifying, developing and cultivating the next generation of air and space thinkers in
-
Research Platform (SARRP) and in vivo imaging to develop image-guided radiotherapy (IGRT) strategies for liver and childhood brain cancers. A key focus of this project is hepatocellular carcinoma (HCC
-
portfolio, conducts cutting edge research into the development of future Intelligent Reconfigurable Manufacturing Systems. This is 3-year fully funded studentship and is only open to UK home students. The
-
and diffusion of gases/vapours. This project will investigate and develop methodologies for understanding the key relationships between fundamental materials properties (degree of crystallinity, extent
-
) and hydrogen (H) – which can synergistically modify the microstructure development in materials [5]. This PhD will reveal the key irradiation-induced microstructure phenomenon in RAFM welds using in
-
third over the past 25 years, which is inferred from sparse soil data and the widespread decline of their avian predators. Recent developments in soil geophones and contact microphones have enabled