Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Cranfield University
- University of Exeter
- University of Birmingham
- ;
- Loughborough University
- Newcastle University
- University of Cambridge
- University of Nottingham
- University of East Anglia
- University of Plymouth
- University of Plymouth;
- University of Sheffield;
- Cranfield University;
- Imperial College London
- Imperial College London;
- Loughborough University;
- Manchester Metropolitan University;
- The University of Manchester;
- UCL
- University of Birmingham;
- University of Cambridge;
- University of Exeter;
- University of Hull;
- University of Oxford
- University of Oxford;
- University of Sheffield
- University of Surrey;
- University of Warwick
- 18 more »
- « less
-
Field
-
, optoelectronic, neuromorphic; Scale-up and Systems - Nanomanufacturing, cellular manufacturing, sensors /actuators, bioelectronics, IoT, theranostics; Frontiers in Nano-Metrology - in-situ nanometrology, electron
-
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
-
operating filters. Quantify operational performance including headloss recovery, filtrate turbidity, biological stability and lifecycle carbon—using high-resolution sensor data and life-cycle assessment tools
-
scintillator-based radiation sensors combining multiple materials with complementary functions, offer a promising route to overcome these limits and achieve unprecedented timing resolution (sub-70ps), enabling
-
to produce anti-counterfeit markings, dye-free colour images, humidity and chemical sensors, anti-glare coatings and optical filters. This project will develop additive manufacturing of devices with actively
-
intensive training in energy modelling, AI-accelerated optimisation, and lifecycle-aware computing. Whether working on smart mobility, sensor nodes, or autonomous platforms, you’ll be contributing to a new
-
are the social, environmental, and economic costs of those responses? The project will involve collecting and analysing transport-related data from a variety of sources. By combining sensor and camera observations