Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Cranfield University
- ;
- ; The University of Manchester
- University of Nottingham
- ; The University of Edinburgh
- ; Swansea University
- ; University of Southampton
- AALTO UNIVERSITY
- University of Sheffield
- ; City St George’s, University of London
- ; Lancaster University
- ; Loughborough University
- ; Newcastle University
- ; University of Birmingham
- ; University of Exeter
- ; University of Nottingham
- ; University of Sheffield
- ; Aston University
- ; Brunel University London
- ; Cranfield University
- ; Edge Hill University
- ; University of Cambridge
- ; University of Hertfordshire
- ; University of Reading
- ; University of Strathclyde
- ; University of Surrey
- ; University of Warwick
- KINGS COLLEGE LONDON
- Newcastle University
- University of Bristol
- University of Cambridge
- University of Cambridge;
- University of Greenwich
- University of Manchester
- University of Newcastle
- 25 more »
- « less
-
Field
-
Specified use +4 - covering a full postgraduate research programme Please note that existing postgraduate research students cannot be considered for this funding. Tenable period 4 years full-time or 8 years
-
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
-
to study corrosion, cracking and mechanical degradation, develop advanced computational models using modern C++ and high-performance computing to simulate material behaviour over a 100+ year timespan. This
-
to support condition-based predictive maintenance for gas turbine engines. Cranfield has developed unique physics-based technologies on gas turbine performance simulations, diagnostics, prognostics and lifing
-
-efficient research that prevents fatigue failures has pushed towards integrated computational materials engineering approaches that improve competitiveness. These approaches rely on physics-based models
-
, engineers, and the general public Qualifications Research Assistant Degree in engineering or numerate subject (e.g., mathematics, physical sciences, computer science) PhD close to completion in field of Power
-
@lancaster.ac.uk with: a current copy of your CV; a covering letter explaining your motivation for applying to the programme; an up-to-date copy of the degree courses you have studied including marks awarded
-
itself and changes the way it should appear at high photon energies. The details of this process can be explored both analytically and numerically, the latter using simulations of magnetohydrodynamics (MHD