Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- Cranfield University
- University of Nottingham
- ; Swansea University
- ; The University of Manchester
- ; University of Birmingham
- ; University of Southampton
- ; University of Warwick
- University of Newcastle
- ; Manchester Metropolitan University
- ; Newcastle University
- ; University of Nottingham
- ; University of Reading
- University of Cambridge
- ; City St George’s, University of London
- ; Cranfield University
- ; University of Bristol
- ; University of Surrey
- Harper Adams University
- Imperial College London
- University of Manchester
- University of Sheffield
- ; Brunel University London
- ; Edge Hill University
- ; The University of Edinburgh
- ; University of Oxford
- Abertay University
- Brunel University
- Heriot Watt University
- UNIVERSITY OF VIENNA
- ; Coventry University Group
- ; Durham University
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; King's College London
- ; Lancaster University
- ; Loughborough University
- ; 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 Leeds
- ; University of Plymouth
- ; University of Sheffield
- ; University of Stirling
- ; University of Strathclyde
- ; University of Sussex
- Durham University
- Heriot-Watt University;
- KINGS COLLEGE LONDON
- Nottingham Trent University
- UNIVERSITY OF MELBOURNE
- University of Glasgow
- University of Liverpool
- University of Oxford
- 47 more »
- « less
-
Field
-
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
-
administrative activities, with guidance as required, ensuring that project aims and objectives are met. Working closely with the supervisory team, develop and plan research objectives. Present information
-
objective is to find the best way to embed simple partial differential equations into AI-based models to solve fluid sensing problems in a robust and efficient manner. Your role may include developing new
-
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
-
Bayesian inference framework for identifying complex aerospace systems combining with limited experimental data. It can be also used to quantify uncertainties from experimental testing, significantly
-
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
-
on their health, welfare and successful transition from racing to retirement. Specific objectives include: Characterisation of the gut microbiome in a population of midlife and older horses retired from racing
-
discounts, travel schemes and many more. To find out more about what we can offer you, follow the link to our benefits website Further information is available in the role profile. To apply for this vacancy
-
very well the behaviour of these cryogenic hydrogen pumps, in order to master their integration into the hydrogen system. The primary objective of this research in collaboration with Airbus is to develop
-
the project. Project Objectives Characterise the surface properties of reclaimed carbon and glass fibres from different sources and with varying processing histories. Investigate suspension behaviour, including