Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- Cranfield University
- ; Newcastle University
- University of Newcastle
- University of Cambridge
- University of Liverpool
- University of Oxford
- ; Swansea University
- ; University of Nottingham
- ; University of Warwick
- Abertay University
- University of Manchester
- University of Nottingham
- ; Coventry University Group
- ; King's College London
- ; UCL
- ; University of Birmingham
- ; University of Bristol
- ; University of Exeter
- ; University of Reading
- ; University of Sheffield
- ; University of Southampton
- ; University of Stirling
- ; University of Sussex
- Harper Adams University
- Imperial College London
- UNIVERSITY OF VIENNA
- University of Leicester
- University of Sheffield
- 19 more »
- « less
-
Field
-
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
-
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
-
specifically on tumour metabolic targets. You will develop and support the INSTINCT-MB. programme through the provision of experimental, analytical and bioinformatic expertise. This will include the development
-
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
-
synergies between methods and ideas of modern machine learning and of statistical mechanics for the study of stochastic dynamics with application to the analysis of time series. In particular, the project
-
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
-
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