Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Cranfield University
- Edinburgh Napier University;
- Imperial College London;
- University of Oxford
- Imperial College London
- Loughborough University
- University of Birmingham
- University of Birmingham;
- University of Bradford;
- University of Cambridge
- University of East Anglia;
- University of Exeter
- University of Exeter;
- University of Nottingham
- University of Plymouth;
- University of Surrey;
- University of Sussex
- University of Sussex;
- University of Warwick
- University of Warwick;
- 10 more »
- « less
-
Field
-
Project Description: This EPSRC-funded PhD project will investigate how next-generation electric and autonomous vehicles can operate as symbiotic agents within the urban ecosystem—intelligently
-
) advances in imaging techniques that fuel a more detailed understanding of the brain, 2) tools from artificial intelligence that enable building better computer simulations of the brain. The lab will leverage
-
, supporting literature reviews, data collection, stakeholder engagement and project coordination. Working closely with the Principal Investigator and NHS partners, you will help design a future national trial
-
and new data collected as part of the wider project. The candidate will work closely with the wider Subnordica team, and our partners, in order to integrate data across a number of case study areas
-
of Nottingham and RACE at UKAEA, providing insights from real nuclear operators and access to MASCOT, Dexter, Telbot platforms, as well as advanced haptic interfaces for observation, data collection, and testing
-
well as retinal fundus images, we will explore analysis of new eye image datasets including OCTA and CCM images for diagnosis of diabetic neuropathy Machine Learning: We will develop artificial intelligence (AI
-
damage identification system, leveraging data collected on instrumented railway vehicles to autonomously assess bridge condition while passing over the structure at operational speed, providing a scalable
-
this change over time? More broadly, the research seeks to drive forward our understanding of how literature is canonized and forgotten, collected and destroyed. The postgraduate researcher will be part of
-
Samuelson and her team on a longitudinal study examining children’s performance on multiple word learning tasks at 18-, 24- and 36-months-of age, as well as their vocabulary growth. There will be
-
strategic priorities in Digital Twins, Environmental Intelligence, and Data-Driven Engineering, using advanced computational modelling to support ecosystem resilience and sustainable management. The project’s