Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Cranfield University
- University of Manchester
- AALTO UNIVERSITY
- Imperial College London;
- KINGS COLLEGE LONDON
- Newcastle University
- University of Newcastle
- University of Nottingham
- Imperial College London
- Loughborough University
- University of Birmingham
- University of Cambridge;
- The University of Edinburgh
- The University of Manchester
- University of Cambridge
- University of Surrey
- ;
- ; Loughborough University
- ; Swansea University
- ; The University of Manchester
- ; University of Exeter
- Bangor University
- Edinburgh Napier University;
- King's College London
- King's College London Department of Engineering
- Manchester Metropolitan University;
- The University of Edinburgh;
- UNIVERSITY OF VIENNA
- University of Birmingham;
- University of Bristol
- University of East Anglia;
- University of Exeter;
- University of Glasgow
- University of Greenwich
- University of Hertfordshire
- University of Leeds;
- University of Liverpool
- University of Nottingham;
- University of Oxford;
- University of Sheffield
- University of Strathclyde;
- University of Warwick;
- 32 more »
- « less
-
Field
-
scattering with computer modelling such as molecular dynamics simulations and AI-assisted data mining. The new technical capabilities will help bridge the current gap in biocide development, i.e., to link
-
relevance. A digital twin framework for safe, simulation-based validation before deployment in operational wind farms. Develop explainable AI (XAI) frameworks and human-computer interfaces that enable wind
-
, process stability, and the downstream consolidation and performance of remanufactured composites. This fully-funded PhD project fits within a wider research programme with industrial partners and an
-
to develop an SDT that simulates real-time system operation in a dynamic virtual environment. Online Implementation: Deploying the SDT on an evolving online platform, continuously updated with new data and
-
excellent understanding in power system dynamics, power electronics and control. Experience in working with power systems dynamic simulation will be helpful, but not necessary to apply for the position. How
-
. The project offers a rare mix of theoretical development, simulation-based research, and experimental validation, supported by advanced testbeds and datasets. Students will also be encouraged to present results
-
scholarships or funding schemes. Students will not be allowed to supplement fees via self-funding. Application process: Please click on the 'Apply' button above to apply for a PhD in Biochemistry via
-
, PhD Sharon Rossiter, PhD Application process To apply for the studentship please complete the application form via the above 'Apply' button and email it with a copy of your CV, two academic references
-
enhance system reliability and safety, aligning with the UK’s NetZero targets. Aim You will have the opportunity to build a high-fidelity process simulation and perform experimental validation to assess
-
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