Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- Cranfield University
- ; The University of Manchester
- University of Nottingham
- ; Swansea University
- ; University of Birmingham
- University of Cambridge
- ; University of Nottingham
- ; University of Warwick
- University of Sheffield
- ; Cranfield University
- ; Newcastle University
- ; University of Exeter
- University of Manchester
- ; The University of Edinburgh
- ; University of Bristol
- ; University of Oxford
- ; University of Southampton
- ; Loughborough University
- ; University of Sheffield
- ; University of Surrey
- ; Brunel University London
- ; City St George’s, University of London
- ; University of Leeds
- Imperial College London
- ; Edge Hill University
- ; University of Strathclyde
- ; University of Sussex
- Harper Adams University
- University of Newcastle
- University of Oxford
- ; Aston University
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; Lancaster University
- ; University of Cambridge
- ; University of East Anglia
- ; University of Greenwich
- ; University of Reading
- AALTO UNIVERSITY
- Abertay University
- UNIVERSITY OF VIENNA
- University of Liverpool
- ; Bangor University
- ; Coventry University Group
- ; Durham University
- ; Manchester Metropolitan University
- ; Midlands Graduate School Doctoral Training Partnership
- ; Royal Northern College of Music
- ; St George's, University of London
- ; Technical University of Denmark
- ; University of Bradford
- ; University of Hertfordshire
- ; University of Plymouth
- ; University of Portsmouth
- Aston University
- Heriot Watt University
- KINGS COLLEGE LONDON
- 47 more »
- « less
-
Field
-
, this interdisciplinary project will couple mathematical models of earthworm movement, stochastic models of the measurement process and designed experiments to improve earthworm detection. Project This project will work
-
the UKRI rate (£19,237 for 2024/25) and tuition fees will be paid. We expect the stipend to increase each year. Generative models, such as large language models (LLMs), have exhibited remarkable success in
-
the transition to a full-time training model, and how these demands can be best managed to maximise adaptations and performance, and mitigate injury risk. The successful candidate will audit the current scientific
-
In this PhD project, we will develop and implement approaches for estimating the uncertainty in AI predictions of chemical reactivity, to help strengthen the interaction between human chemists and machine learning algorithms and to assess when AI predictions are likely to be correct and when,...
-
capture technologies. In this project, you will: Develop a 3D Digital Model: Create an advanced computational model of high-pressure mechanical seals. Apply Computational Fluid Dynamics (CFD): Simulate gas
-
health with the aim of creating healthier spaces and habits for them. This is a highly interdisciplinary project that combines computational modelling and behavioural science. The first part will be based
-
., temperature, humidity, collision processes) that influence fragmentation. Develop and validate a numerical model to simulate raindrop-freezing fragmentation and its contribution to secondary ice production
-
methodology to deliver simulations over a wider operating regime than currently possible. The realisation of this aim involves the advancement of the modelling of the air film and the foil, and their
-
to develop a simple and reproducible cell-based model to investigate how the changes in blood flow associated with pre-eclampsia damage the syncytiotrophoblasts leading to the detrimental release of factors
-
in healthcare service and opportunities for identification of such deviations using computer vision approaches. It will demonstrate how deviation data can be used in computer-based simulation models