Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- Cranfield University
- ; Newcastle University
- University of Newcastle
- University of Liverpool
- University of Oxford
- ; Swansea University
- ; University of Warwick
- Abertay University
- University of Cambridge
- University of Manchester
- University of Nottingham
- ; Coventry University Group
- ; King's College London
- ; UCL
- ; University of Birmingham
- ; University of Bristol
- ; University of Nottingham
- ; University of Sheffield
- ; University of Stirling
- Harper Adams University
- Imperial College London
- UNIVERSITY OF VIENNA
- University of Exeter
- University of Leicester
- University of London
- University of Sheffield
- University of Warwick
- 18 more »
- « less
-
Field
-
to air pollution in the future, and planning further policy changes. This PhD project will develop statistical modelling frameworks that are able to handle large-scale, complex, and correlated time series
-
motion and the viewing perspective of the observer (Nikolaidis et al, 2016). This project will develop continuous models of action legibility using these sources of information from data collected in a
-
and Language Sciences, including our Speech and Language Sciences subject area. The postholder should have a PhD in a relevant discipline e.g. Speech and Language Sciences, Education, Psychology
-
considered. Qualifications/Skills PhD degree in a programme relevant to human-computer interaction and/or critical computing, ideally in Computer Science, Industrial Engineering, Interaction Design, or a
-
Qualification Type: PhD Location: Nottingham Funding For: UK Students Funding amount: Full tuition fee waiver pa (Home Students only) and stipend at above UKRI rates pa (currently at £20,780
-
sources such as (i) atmospheric models, (ii) satellite remote sensing, (iii) land use information, and (iv) meteorological data. The aim of this PhD is to develop and implement models for integrating data
-
You will be collecting, analysing, and presenting data throughout the study informing the intervention and app and contributing directly to the education/instructional videos contained within them
-
high-priority condition as new disease-modifying therapies are developed. This PhD tackles a key diagnostic bottleneck in ADTKD-MUC1 and integrates precision genomic medicine into routine kidney care
-
Liverpool where, in the School of Computer Science and Informatics, we have an active group of PhD students, postdocs, and academics working at the intersection of Machine Learning, Verification and
-
more broadly in the NDPCHS’s portfolio of health economics research and teaching activities. You should have (or be close to completing) a DPhil/PhD in health economics or one of its cognate disciplines