Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Cranfield University
- University of Birmingham
- Newcastle University
- University of Cambridge
- University of Nottingham
- ;
- Loughborough University
- University of Sheffield
- Loughborough University;
- The University of Manchester;
- University of Cambridge;
- University of East Anglia
- University of Exeter
- University of Exeter;
- University of Greenwich
- University of Newcastle
- University of Oxford
- University of Sheffield;
- University of Warwick
- 9 more »
- « less
-
Field
-
Systems, or a related field. Strong analytical and critical thinking skills. Strong machine learning (ML), computer vision (CV), large language models (LLM) for quantitative data, texts, images, and sensor
-
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
-
, biomechanical aspects related to wearable sensing, and optimisation of sensors and wearable electronics for selected healthcare and sports applications. Your Group This project is part of the prestigious
-
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
-
, Skills and Experience • You will have substantial technical experience in time series analysis, ideally either in neurophysiology data or wearable sensor data • You will have experience of at least