Sort by
Refine Your Search
-
Country
-
Employer
- The University of Auckland
- Cranfield University
- Technical University of Denmark
- ;
- ; Cranfield University
- Crohn’s & Colitis Australia IBD PhD Scholarship
- Curtin University
- Ghent University
- NTNU - Norwegian University of Science and Technology
- University of Southern Denmark
- Vrije Universiteit Brussel
- 1 more »
- « less
-
Field
-
Degradation Faults: Simulates various degradation scenarios in unmanned aerial vehicle (UAV) fuel systems, enabling research into fault detection, isolation, and prognostics. Machine Fault Simulator
-
suite of specialised facilities: UAV Fuel Rig with Five Degradation Faults: Simulates various degradation scenarios in unmanned aerial vehicle (UAV) fuel systems, enabling research into fault detection
-
research into fault detection, isolation, and prognostics. Machine Fault Simulator for Rotating Machinery Faults: A versatile platform that replicates common faults in rotating machinery, such as imbalance
-
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
-
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
-
to join a cutting-edge research project at the intersection of microelectronics and quantum computing. As the quantum computing field rapidly advances toward large-scale, fault-tolerant systems, one
-
control system that enhances Annual Energy Production (AEP), reduces mechanical stress, and improves fault detection using machine learning (ML) and physics-based modelling. The candidate will gain hands
-
of underwater acoustic environment or low signal-to-noise environment. We will develop more effective deep learning to increase data communication speed and reduce error probabilities. The project aims
-
, immune signalling, and the bacteria living in the gut (microbiome). This study aims to evaluate the impact of surgical technique on disease recurrence, methods for detecting recurrence, and changes in
-
are expected to include: •Robust and “functionally explainable” machine-aided decision support for Safety and Mission Critical objectives e.g. fault detection/tracing, evasive manoeuvring, target selection etc