Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Cranfield University
- University of Sheffield
- University of Nottingham
- ; Swansea University
- ; The University of Edinburgh
- ; The University of Manchester
- AALTO UNIVERSITY
- University of Bristol
- University of Newcastle
- ;
- ; City St George’s, University of London
- ; University of Birmingham
- ; University of Bristol
- ; University of Exeter
- ; University of Oxford
- ; University of Sheffield
- KINGS COLLEGE LONDON
- The University of Manchester
- UCL
- University of Cambridge
- ; Aston University
- ; Coventry University Group
- ; Cranfield University
- ; Loughborough University
- ; University of Cambridge
- ; University of East Anglia
- ; University of Nottingham
- ; University of Southampton
- ; University of Surrey
- ; University of Warwick
- Harper Adams University
- Newcastle University
- The University of Edinburgh
- University of Birmingham
- University of Glasgow
- University of London
- University of Nottingham;
- University of Warwick
- 28 more »
- « less
-
Field
-
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
-
related discipline. Strong background/skills on machine learning, mathematics, probabilistic modelling and optimisation are preferred. To apply please contact the supervisor, Dr Mu - Tingting.Mu
-
Biology, Physics, Applied Mathematics, Computer Science, Bioengineering, Systems Biology or a related field. Proficiency in modelling using differential equations is required. Candidates must have
-
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
-
trends to provide immediate post-race feedback to Sport Directors that can be used to assess race strategy and tactics. Research, review and develop models based on objectives 1 and 2 to develop a race
-
Biology, Physics, Applied Mathematics, Computer Science, Bioengineering, Systems Biology or a related field. Proficiency in modelling using differential equations is required. Candidates must have
-
an independent impact assessment of potential climate interventions in the Arctic marine environment through laboratory experiments and computer modelling. The team will develop physical, climate and ecosystem
-
will be an advantage if candidates have an interest in optimisation, control and computing systems, model checking, mathematical logic and good programming skills, ideally in MATLAB, Python and/or C/C
-
used to measure motion and deformation. It provides comprehensive full-field deformation data, essential for analysing complex materials, structures and model validation. The DIC community has developed