Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Cranfield University
- University of Exeter
- University of Birmingham
- ;
- University of Nottingham
- Cranfield University;
- Imperial College London
- Imperial College London;
- Loughborough University
- Loughborough University;
- The University of Manchester;
- University of Birmingham;
- University of Cambridge
- University of East Anglia
- University of Exeter;
- University of Hull;
- University of Plymouth
- University of Plymouth;
- University of Surrey;
- 9 more »
- « less
-
Field
-
the University of Sheffield and with industry partners, you will develop and optimise the modelling techniques. This includes the development of Physics Informed Neural Networks and combine this with real-time
-
, durability, and environmental sustainability, while addressing cost constraints and net zero objectives. It will include an in-depth review of shortcomings in current design, based on literature review and
-
transition toward a net-zero energy future. Despite its enormous potential as a clean aviation fuel, hydrogen has not yet become a practical option for powering aircraft due to several major technological and
-
-binding domain and leucine-rich repeat (NLR) genes play important roles as the sensors/receptors of non-self molecules and in activation of immune responses such as transcriptional reprogramming and cell
-
industries: in-car systems, medical devices, phones, sensor networks, condition monitoring systems, high-performance compute, and high-frequency trading. This CDT develops researchers with expertise across
-
of computer science and engineering. Research areas incorporate digital signal and image processing, sensor network, Internet of Things, healthcare as application area, multimedia, image and video processing, cyber
-
capable of leveraging signals from terrestrial base stations, non-terrestrial networks such as LEO satellite, and complementary on-board sensors. Specifically, it will: To design reconfigurable airborne
-
achieving Net Zero by 2050. In partnership with Plant Health at Defra (Department for Environment, Food & Rural Affairs), this project introduces a novel AI-driven framework to protect the nation’s plant life
-
This self-funded PhD research project aims to develop smart sensors based on low-frequency resonance accelerometers for condition monitoring of ultra-speed bearings. The developed smart sensors will
-
the Internet of Things (IoT), where networked sensors and actuators enable real-time adaptation to environmental changes. Consider a self-adaptive IoT network such as a smart home that autonomously manages