Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Cranfield University
- ;
- ; The University of Manchester
- ; The University of Edinburgh
- University of Nottingham
- ; Swansea University
- ; University of Southampton
- AALTO UNIVERSITY
- University of Sheffield
- ; City St George’s, University of London
- ; Cranfield University
- ; Lancaster University
- ; Loughborough University
- ; Newcastle University
- ; University of Birmingham
- ; University of Exeter
- ; University of Nottingham
- ; University of Reading
- ; University of Sheffield
- University of Cambridge
- ; Aston University
- ; Brunel University London
- ; Edge Hill University
- ; University of Cambridge
- ; University of Greenwich
- ; University of Hertfordshire
- ; University of Strathclyde
- ; University of Surrey
- ; University of Warwick
- KINGS COLLEGE LONDON
- University of Manchester
- University of Newcastle
- 22 more »
- « less
-
Field
-
alongside numerical simulations relying on high-performance computing and reduced order modelling. We aim to gain new insights about the physical coherent structures which are most relevant to viscoelastic
-
create a computational tool based on experimental input, simulated data, and machine learning methodology to extract 3D atomic structure information from 2D identical location STEM images. STEM image data
-
in a degree, ideally at Masters level, in an Engineering subject, Physics, Mathematics, Computer Science or other quantitative background. Knowledge in fluid mechanics, ocean waves, numerical methods
-
simulations to model this process and, in conjunction with ongoing experimental studies, obtain design rules for the optimum crown ether, lithium counter-ion, and solvent, which will lead to enhancements in
-
to the development of multiscale computational models for simulating crack propagation and establishing reliable methods to predict the residual strength of composite structures. The simulations, performed in Ansys
-
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
-
fluid dynamics (CFD) simulations, Finite Element Analysis, manage and execute the procurement of the build, run the aerothermal testing and process and communicate the results. The skills, qualifications
-
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
-
.), including full fees and bursary. Main Copy (advised structure) Green hydrogen has been presented as an important aspect of the renewable energy future not only to decarbonise many industries including steel
-
us to run large numerical simulations with billions grid points on mixed computer architectures including CPU and GPU machines. A current project is preparing the code set for the next generation of