Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Cranfield University
- ;
- University of Sheffield
- ; The University of Manchester
- University of Nottingham
- ; Swansea University
- ; The University of Edinburgh
- ; University of Bristol
- ; University of Exeter
- ; University of Sheffield
- ; Newcastle University
- ; University of Birmingham
- ; University of Oxford
- University of Bristol
- University of Cambridge
- ; City St George’s, University of London
- ; Lancaster University
- ; University of Warwick
- KINGS COLLEGE LONDON
- The University of Manchester
- UNIVERSITY OF VIENNA
- University of Manchester
- University of Newcastle
- University of Warwick
- ; Aston University
- ; Coventry University Group
- ; Cranfield University
- ; Imperial College London
- ; Loughborough University
- ; UCL
- ; University of Cambridge
- ; University of Nottingham
- ; University of Southampton
- ; University of Surrey
- AALTO UNIVERSITY
- Harper Adams University
- Newcastle University
- UCL
- University of Birmingham
- University of Glasgow
- University of Nottingham;
- 31 more »
- « less
-
Field
-
Application deadline: All year round Research theme: Control systems and theory, Applied Mathematics How to apply:uom.link/pgr-apply-2425 Number of positions: 1 Open to: UK This 3.5 year project is
-
MRI, echocardiography, and CT. Another promising approach is the use of cardiac digital twins—mathematical models that simulate a patient’s heart to allow the design and in silico testing of novel
-
mathematics is essential. Prior experience with simulation tools or microstructural modelling is desirable. To apply, please contact the supervisor, Prof Andrey Jivkov - andrey.jivkov@manchester.ac.uk . Please
-
MRI, echocardiography, and CT. Another promising approach is the use of cardiac digital twins—mathematical models that simulate a patient’s heart to allow the design and in silico testing of novel
-
Research Groups at the Faculty of Engineering, which conduct cutting-edge research into electric propulsion systems, composite materials, and advanced simulation technologies. Vision We are seeking a highly
-
access to bespoke courses developed for Engineering PGRs. including sessions on paper writing, networking and career development after the PhD. The Faculty has outstanding facilities and works in
-
, Machine Learning, AI, and related areas including Optimization, Mathematics and Physics are welcome to apply. The candidate is expected to conduct independent research and should have strong analytical
-
. The successful candidate for this PhD position will be involved in the experimental and theoretical development of a new technology called Surface Nanoscale Axial Photonics (SNAP), which will enable
-
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