Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- Cranfield University
- University of Nottingham
- ; Swansea University
- ; University of Nottingham
- University of Cambridge
- ; The University of Edinburgh
- ; University of Birmingham
- University of Newcastle
- ; Cranfield University
- ; Edge Hill University
- ; Newcastle University
- ; The University of Manchester
- ; University of Exeter
- Abertay University
- ; City St George’s, University of London
- ; University of Oxford
- ; University of Sheffield
- ; University of Southampton
- AALTO UNIVERSITY
- KINGS COLLEGE LONDON
- Newcastle University
- University of Warwick
- ; Lancaster University
- ; Manchester Metropolitan University
- ; University of Bristol
- ; University of East Anglia
- ; University of Leeds
- ; University of Stirling
- ; University of Surrey
- ; University of Warwick
- Brunel University
- Coventry University Group
- Durham University
- Imperial College London
- King's College London
- Oxford Brookes University
- Swansea University
- The University of Edinburgh
- The University of Manchester
- University of Exeter
- University of Sheffield
- 32 more »
- « less
-
Field
-
functioning [1]. Building on these insights, you will compile and standardise datasets of collective movement and collect new data from multiple species of freshwater fish. From these data, you will identify
-
leader in hydrogen-powered aviation technologies. Hydrogen-based aviation offers a revolutionary opportunity to significantly reduce aviation’s carbon footprint, aligning with global commitments to reach
-
expertise and facilities in the area of propulsion system aerodynamics. The industrial sponsor, Rolls-Royce, is committed to net zero aviation by 2050 and this project aligns with the strategic interests in
-
small number of crops, undermines the sustainability and resilience of land use. However, we do not have a good understanding of how land could be used for multiple purposes whilst being sustainable and
-
the detection of real versus AI videos. The focus has been from single disciplines (e.g., Masood et al., 2022), and typically technical in nature. By drawing on multiple modalities within video (i.e., visual
-
recovery. Through real-world testing and industry-aligned development cycles, students gain practical experience in resilience modelling, embedded AI diagnostics, and autonomous recovery protocols
-
dynamic environments, including narrow spaces and interactions with unfamiliar objects. This project aligns with Rolls-Royce’s technical needs for developing soft robotic solutions to enable in-situ/on-wing
-
collaborative project that spans multiple continents. You will contribute to the development of new chronobiological analytics on existing data, design experiments to collect novel chronobiological data, engage
-
Natural Language Processing (NLP) in the areas of culturally aware NLP or multilingual conversational NLP, and integration of such methods to support language technology in multiple languages
-
—remains a critical challenge. This project will focus on designing AI-driven cognitive navigation solutions that can adaptively fuse multiple sensor sources under uncertainty, enabling safe and efficient