Sort by
Refine Your Search
-
Listed
-
Employer
- ;
- Cranfield University
- University of Nottingham
- ; University of Nottingham
- ; The University of Manchester
- ; University of Southampton
- ; Loughborough University
- ; University of Bradford
- ; Cranfield University
- ; Edge Hill University
- ; University of Birmingham
- ; University of Exeter
- ; University of Reading
- University of Cambridge
- ; Bangor University
- ; Bournemouth University
- ; Manchester Metropolitan University
- ; Newcastle University
- ; Swansea University
- ; UWE, Bristol
- ; University of Bristol
- ; University of East Anglia
- ; University of Liverpool
- ; University of Oxford
- ; University of Stirling
- ; University of Sussex
- ; University of Warwick
- ; University of York
- Abertay University
- Edge Hill University
- Newcastle University
- UNIVERSITY OF EAST LONDON
- UNIVERSITY OF VIENNA
- University of East London
- University of Manchester
- 25 more »
- « less
-
Field
-
living environment. In nature, the owl is one of the birds that can fly almost silently. Its wings have several features that help to reduce the noise, such as feather fringe and comb [1]. Among them
-
. Another key area of focus is integrating blockchain consensus protocols with FL protocols. The goal is to streamline communication and computation by reducing overlaps and redundancies. This can help
-
-billionths of a second (femtosecond). X-ray free-electron lasers (XFEL) are a powerful tool to watch material dynamics on these timescales but how to design and interpret XFEL experiments remains challenging
-
the accurate prediction of reaction enthalpies and activation free energies for all relevant intermediates. In this project, a deep learning and generative design toolchain will be developed resulting in an ML
-
October 2025 Studentship details Introduction The project will be funded through the NIHR HealthTech Research Centre in Brain Injury (HRC) Fellowship Programme, which has been designed to support research
-
of dehydration using a low-power radio-frequency (RF) sensor. The research objectives include design optimization to improve wearability, robust data acquisition using machine learning and establishing correlation
-
Supervisory Team: Yongqiang Liu PhD Supervisor: Yongqiang Liu Project description: Emerging micropollutants, encompassing a spectrum from pharmaceutical residues and personal care products
-
algorithms are used that allow a computer to process large data-sets and learn patterns and behaviours, thus allowing them to respond when the same patterns are seen in new data. This include 'supervised
-
Type of award Scholarship Managing department Faculty of Humanities Value Tuition Fees Stipend Approved fares covered Please see the ‘Financial assistance' tab on the Commonwealth Scholarship