Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Cranfield University
- University of Exeter;
- University of Birmingham;
- University of East Anglia
- ;
- University of Birmingham
- University of Cambridge
- University of Nottingham
- University of Warwick;
- AALTO UNIVERSITY
- Imperial College London;
- Loughborough University
- Manchester Metropolitan University
- Newcastle University
- Swansea University;
- The University of Edinburgh
- The University of Edinburgh;
- The University of Manchester
- The University of Manchester;
- Ulster University
- University College London
- University of Bristol
- University of East Anglia;
- University of Exeter
- University of Leeds;
- University of Newcastle
- University of Oxford;
- University of Sheffield
- University of Sussex;
- 19 more »
- « less
-
Field
-
to provide a synergistic temperature-AQ Early Warning System (EWS) for the UK, as a tool to mitigate such risk. It is an open research challenge and the candidate will be able to decide upon the most optimal
-
. This PhD proposal aims to develop an integrated modelling-prediction-control framework that uses extreme-weather-aware AI to coordinate frequency stability, voltage control, optimal power distribution, and
-
of manufacturing variation. Provide recommendations for process optimization and compensation strategies to improve repeatability and accuracy in high-performance applications. Funding Only Home students can apply
-
assembly of foldamers often lack the mechanical properties required for their optimal performance as biomedical devices. Polymers have recently emerged as a promising class of materials for biomedical
-
assessment, and forecasting its future states. Together, these technologies can significantly enhance safety, reliability, and design optimization to make hydrogen-powered aviation both viable and certifiable
-
with symptoms. However, our brain operates differently between sleeping and waking brain states, and an optimal system should take this into account. The aim of this project is to develop brain state
-
(HVDC) technology will be used to bundle energy from several windfarms and transport to load centres. Future offshore wind farms are expected to be further optimized either functionally or in
-
project will involve optimizing the trapping conditions—such as laser power, wavelength, and nanostructure geometry—to prevent photodamage while achieving strong signal enhancement. The project will also
-
, optimized for coupling with molecular vibrational and electronic transitions. By embedding selected organic or hybrid molecules into these cavities, the research will probe the emergence of quantum light
-
response times and elucidate the energy transfer pathways within the nanogap. Additionally, the research will investigate the temperature and material-dependent properties to optimize switching efficiency