Sort by
Refine Your Search
-
Listed
-
Employer
- ;
- Cranfield University
- University of Nottingham
- ; Swansea University
- ; The University of Manchester
- ; University of Birmingham
- ; University of Warwick
- ; University of Nottingham
- ; University of Southampton
- ; Cranfield University
- ; Manchester Metropolitan University
- ; Newcastle University
- ; University of Reading
- ; Brunel University London
- ; City St George’s, University of London
- ; Loughborough University
- Harper Adams University
- UNIVERSITY OF VIENNA
- University of Manchester
- ; Edge Hill University
- ; The University of Edinburgh
- ; University of Bristol
- ; University of Oxford
- ; University of Sheffield
- ; University of Surrey
- ; University of Sussex
- Abertay University
- University of Sheffield
- ; Coventry University Group
- ; Durham University
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; King's College London
- ; Lancaster University
- ; Queen's University Belfast
- ; St George's, University of London
- ; UWE, Bristol
- ; University of Cambridge
- ; University of East Anglia
- ; University of Greenwich
- ; University of Hertfordshire
- ; University of Hull
- ; University of Kent
- ; University of Leeds
- ; University of Plymouth
- ; University of Stirling
- ; University of Strathclyde
- Nottingham Trent University
- University of Cambridge
- University of Newcastle
- 39 more »
- « less
-
Field
-
optimization of batteries against the swelling phenomenon. This project aims at developing scientific machine learning approaches based on the Bayesian paradigm and electrochemical-thermomechanical models in
-
abort (or not engage) if the bright white lines that fit a defined and rigid expectation are not clearly visible. These systems use algorithms, rather than AI machine learning, to detect road markings and
-
The primary objective of this project is to establish the evidence base on professional cycling road ‘racing’ trends and the critical tactical moments that determine how races are won. This evidence
-
innovation and find diverse applications across industries such as aerospace, energy, and automotive. Among its various techniques, wire-arc directed energy deposition (WA-DED) stands out as a highly promising
-
hardware design, and build in fault detection and correction to ensure secure, efficient operation in space systems. The outcome will be a high-performance, fault-tolerant Falcon implementation, enhancing
-
resilient to future change. This project will evaluate potential future land use configurations in several countries, exploring where and how biomass production can support multiple objectives for a
-
environments—such as fleets with multiple aircraft types. Objectives Objective 1: Map current data types, structures, and interoperability challenges to build a detailed "as-is" understanding of current
-
of the challenges is fault detection and diagnosis of bearings subject to low (rotational) speed. As vibration/acoustic signals generated by the faults of low-speed bearings are very weak and often covered by strong
-
. The object of our studies is to gain a fundamental understanding of this incredible family of glycans, opening the potential to use that knowledge to design new drugs, new biomaterials or to identify new
-
AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
engineers detect faults earlier, track system degradation, and make better-informed maintenance decisions. But how can we turn this complex information into something reliable, explainable, and actionable