Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- Cranfield University
- University of Nottingham
- ; Swansea University
- ; The University of Manchester
- ; University of Birmingham
- ; University of Warwick
- ; University of Nottingham
- ; University of Southampton
- University of Cambridge
- University of Newcastle
- ; Cranfield University
- ; Manchester Metropolitan University
- ; Newcastle University
- ; University of Reading
- ; Brunel University London
- ; City St George’s, University of London
- ; Loughborough University
- ; University of Surrey
- Harper Adams University
- Imperial College London
- University of Manchester
- ; Edge Hill University
- ; The University of Edinburgh
- ; University of Bristol
- ; University of Oxford
- ; University of Sussex
- Abertay University
- Brunel University
- Heriot Watt University
- UNIVERSITY OF VIENNA
- University of Sheffield
- ; Coventry University Group
- ; Durham University
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; King's College London
- ; Lancaster University
- ; St George's, University of London
- ; UWE, Bristol
- ; University of Cambridge
- ; University of East Anglia
- ; University of Greenwich
- ; University of Hertfordshire
- ; University of Hull
- ; University of Kent
- ; University of Leeds
- ; University of Plymouth
- ; University of Sheffield
- ; University of Stirling
- ; University of Strathclyde
- Durham University
- KINGS COLLEGE LONDON
- Nottingham Trent University
- UNIVERSITY OF MELBOURNE
- University of Glasgow
- University of Liverpool
- University of Oxford
- 47 more »
- « less
-
Field
-
independence as illustrated by identification of project objectives from assessment of the literature, design & analysis of experiments & drafting of papers. E11 Experience in undertaking independent research
-
This PhD at Cranfield University explores the development of resilient, AI-enabled electronic systems capable of detecting faults and autonomously recovering from failures in real time. The project
-
through advanced modelling and simulation. A key objective is to validate and optimize poroelastic finite element models of brain tissue, making them more accurate and clinically relevant. Additionally
-
training, as well as research activity support grants. Due to funding stipulations set by UKRI, we are only able to recruit home applicants for this opportunity. You can find further details https
-
to arrange the tuition fees and living expenses. Find out more about fees here . Cranfield Doctoral Network Research students at Cranfield benefit from being part of a dynamic, focused and professional study
-
interview system for university admissions. This project aims to improve the fairness, efficiency, and objectivity of student selection by reducing bias and subjectivity inherent in traditional interviews
-
discover therapeutic targets relevant to Welsh populations. You’ll also help translate your computational insights into lab-based validation using experimental models, paving the way for new diagnostics and
-
distribution of normal cardiac anatomy and function (including motion) from healthy subjects. By establishing an understanding of "what normal looks like", these models will detect deviations from the norm and
-
for constraining the spin of the compact object being lensed which will involve both theoretical and computational modelling. If you wish to discuss any details of the project informally, please contact: Prof
-
areas. Project aims and objectives This project aims to develop a novel approach to analyse the interaction between the structure of CFM and the dynamic performance of the flow. The aim will be achieved