Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- University of Exeter;
- Cranfield University
- University of Birmingham
- University of Birmingham;
- University of East Anglia
- ;
- Dublin City University
- Newcastle University
- Swansea University
- The University of Edinburgh
- The University of Manchester;
- University of Bristol
- University of Warwick
- Abertay University
- Imperial College London;
- Loughborough University
- Loughborough University;
- Manchester Metropolitan University
- Swansea University;
- The University of Edinburgh;
- The University of Manchester
- Ulster University
- University of Cambridge
- University of East Anglia;
- University of Exeter
- University of Leeds;
- University of Newcastle
- University of Nottingham
- University of Oxford;
- University of Plymouth
- University of Sheffield
- University of Strathclyde (UOS)
- University of Surrey
- University of Warwick;
- 24 more »
- « less
-
Field
-
The project: Non-destructive testing (NDT) is vital to ensure structures are safe and to reduce operating costs by facilitating predictive maintenance. The focus of this project is on improving ultrasonic array inspection, a widely used form of NDT, and so the results can be applied across a...
-
E-Sports are competitive sports in virtual environments, where participants compete at amateur and professional tournaments, as well as socially, with top competitions attracting large audiences and significant prize money. In many ways, e-sports resemble traditional sports, requiring high...
-
training Skills in process design, optimization, scale-up, and regulatory compliance A realistic, high-probability pathway into an industry career after graduation Applicants should have, or expect
-
the Southwest. Geospatial and engineering analyses will identify optimal sites and system configurations, while collaboration with the Law School will assess legal and regulatory frameworks, planning constraints
-
of the outstanding components in both air and land transport as well as wind farm. However, the reduction of turbulence-generated noise is far from optimal and the design heavily depends on expensive rig testing
-
storage systems (ESSs), and electric vehicles (EVs) that collectively form a local energy community (EC). ECs are supposed to facilitate direct peer-to-peer (P2P) energy trading mechanisms to optimize
-
frequency regulation, energy scheduling, and overall smart grid system optimization. Moreover, such complex interconnections between power system dynamics, communication networks, and information
-
. Today, performance programming is no longer limited to optimizing low-level code. It often includes using domain-specific compilers, constraint programming libraries, complex performance models, and
-
sources compared with gas turbines, etc. The aim of this PhD research is to develop novel performance simulation capabilities to support the analysis and optimization for sCO2 power generation systems
-
harness advanced techniques such as machine learning, optimization algorithms, and sensitivity analysis to automate and enhance the mode selection process. The result will be a scalable methodology that