Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- Cranfield University
- University of Manchester
- ; The University of Manchester
- University of Nottingham
- ; University of Oxford
- University of Cambridge
- ; Cranfield University
- ; Swansea University
- ; University of Birmingham
- ; University of Surrey
- University of Sheffield
- ; Lancaster University
- ; University of Greenwich
- ; University of Reading
- ; University of Sheffield
- ; University of Southampton
- University of Newcastle
- ; Aston University
- ; Brunel University London
- ; Loughborough University
- ; The University of Edinburgh
- ; University of Cambridge
- ; University of Exeter
- ; University of Hertfordshire
- ; University of Nottingham
- ; University of Plymouth
- ; University of Strathclyde
- ; University of Sussex
- ; University of Warwick
- AALTO UNIVERSITY
- KINGS COLLEGE LONDON
- King's College London
- 23 more »
- « less
-
Field
-
simulating fluid networks and dynamic phenomena for assessing different solutions is a necessity The overall aim of this project is to improve the confidence in fuel system design process for ultra-efficient
-
communications in smart manufacturing. We are seeking an ambitious and technically capable individual with a strong academic background in Computer Science, Computer Networking, Telecommunications, or a closely
-
metrics during both standard operation (primarily governed by system reliability) and extreme events (primarily governed by robustness and restoration). This will be achieved by building on previous
-
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
-
overseas equivalent) Nationality restrictions This funding is available to all nationalities. Application procedure You must submit your completed online programme application for a place on your chosen PhD
-
, a minimum mark of 65% in your dissertation and no mark below 55% (or overseas equivalent) Nationality restrictions This funding is available to all nationalities. Application procedure You must submit
-
, including a high level of English language proficiency. Candidates should satisfy the selection criteria set out by CSC Application procedure Please submit your application via The University
-
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
-
model to understand the dominant physics in the drying process. Develop a well-documented open-source code to simulate a suitable reduced problem of the drying process. Generate a database quantifying
-
high temperature corrosion rate involving mathematical models validated through simulation, experiments and analysis. Gas Turbines are used as a multipurpose power source in various applications like aviation, power