Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Cranfield University
- University of Sheffield
- The University of Manchester
- ; Aston University
- ; Loughborough University
- ; University of Exeter
- ; University of Nottingham
- ; University of Southampton
- AALTO UNIVERSITY
- Imperial College London
- Newcastle University
- UNIVERSITY OF VIENNA
- University of Cambridge;
- University of Newcastle
- University of Nottingham
- University of Strathclyde;
- 6 more »
- « less
-
Field
-
, structural equation modelling, visualisation, preferably in R Competences in quantitative research methods – ideally knowledge of several of the following aspects of quantitative data analysis: experimental
-
realistic environment for research and training. SIU 737-200 ECS: A ground-based Boeing 737-200 Environmental Control System used for simulating faults and studying system behaviour under various conditions
-
for the collection of data to develop and validate prognostic models for filter degradation. Integrated Drive Generator (IDG) Rig: Simulates the operation of an aircraft's IDG, used to investigate fault detection
-
capture technologies. In this project, you will: Develop a 3D Digital Model: Create an advanced computational model of high-pressure mechanical seals. Apply Computational Fluid Dynamics (CFD): Simulate gas
-
prognostic models for filter degradation. Integrated Drive Generator (IDG) Rig: Simulates the operation of an aircraft's IDG, used to investigate fault detection, diagnostics, and prognostics in power
-
to the development of multiscale computational models for simulating crack propagation and establishing reliable methods to predict the residual strength of composite structures. The simulations, performed in Ansys
-
corrosion-fatigue conditions by integrating multiscale physics-based models combined with mesoscale experimental tests. This research will study the effects of corrosion-induced changes in composition
-
simulate the impacts of extreme weather using future-looking climate-based projections. It aims to identify cost-effective, climate-resilient investment pathways for the GB’s whole energy system. The project