Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Cranfield University
- University of Exeter
- University of Birmingham
- Swansea University
- The University of Edinburgh
- University of Warwick
- ;
- King's College London
- Loughborough University
- Loughborough University;
- University of Cambridge
- University of East Anglia
- University of Manchester
- University of Plymouth;
- Imperial College London;
- Manchester Metropolitan University;
- Nottingham Trent University
- The Institute of Cancer Research
- UCL
- Ulster University
- University of Birmingham;
- University of Cambridge;
- University of Derby
- University of Exeter;
- University of Nottingham
- University of Roehampton
- University of Sheffield
- University of Surrey;
- University of Warwick;
- 19 more »
- « less
-
Field
-
insole architectures to redistribute plantar pressure and improve comfort. To support continuous monitoring, sensing elements will be incorporated within the insole structure to capture changes that may
-
embrittlement, leakage, and long-term material degradation raise critical reliability concerns for flight certification. Structural Health Monitoring (SHM) and Digital Twinning (DT) technologies can address the
-
field studies, and innovative design strategies will be developed that incorporate corrosion-resistant materials, optimised configurations, and embedded Internet of Things (IoT) sensors to monitor
-
This PhD project focuses on advancing computer vision and edge-AI technology for real-time marine monitoring. In collaboration with CEFAS (the Centre for Environment, Fisheries, and Aquaculture
-
devices for medical imaging and reaction monitoring, as well as for the development of sustainable photocatalysts. In this role you will develop machine learning (ML)-accelerated quantum mechanics in
-
intellectual disability associated with either a rare genetic syndrome or a co-occurring condition such as autism. People with moderate-profound intellectual disability and complex needs are at high risk for
-
power sources for electronics, supporting the Green Transition. Biosensing involves detection of biological targets, often for diagnosing or monitoring disease. Cheap and effective biosensors can save
-
package on monitoring and simulation of neighbourhood-level energy performance using aerial thermography and ground-based measurements. Develop ML/AI based building heat transfer and loss, indoor
-
their application that can be used to determine oocyte quality from incompetent and ageing oocytes. We have established oocyte culture conditions enabling us to generate aged mouse oocytes in vitro
-
. The developed new knowledge will assist performance designs, analysis, operations, and condition monitoring of sCO2 power generation systems. The project will be undertaken using the strong thermodynamic