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
- ; Brunel University London
- ; Loughborough University
- ; University of Sheffield
- ; University of Surrey
- ; 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
- ; University of Bradford
- ; University of Hertfordshire
- ; University of Plymouth
- ; University of Portsmouth
- Aston University
- Heriot Watt University
- KINGS COLLEGE LONDON
- 46 more »
- « less
-
Field
-
Although the development of systems architectures and models has been an established practice for many years, the assessment of the quality of models has relied on expert judgement with
-
reduces computational cost and enables large-scale reactor simulations, current porous approaches, based on Reynolds-averaged Navier-Stokes models, rely on empirical correlations and assumptions that may
-
simulations, exploring novel aspects of numerical modelling and expanding the computational mechanics capabilities of the group. This project offers the opportunity to join a vibrant research group and
-
team, the PhD student will support the development of discrete choice experiments in two countries, and agent-based modelling, as we plan to model how doctors make job choices among alternative hospitals
-
It is imperative to use well characterised, human-relevant in vitro models to assess air pollution exposure impact upon human health, and how it may develop disease. However, despite the known
-
, 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
-
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