Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- Cranfield University
- University of Nottingham
- ; The University of Manchester
- ; University of Nottingham
- ; The University of Edinburgh
- ; University of Birmingham
- ; City St George’s, University of London
- ; Loughborough University
- ; Swansea University
- ; University of Exeter
- University of Sheffield
- ; Brunel University London
- ; Cranfield University
- ; Manchester Metropolitan University
- ; University of Plymouth
- ; University of Southampton
- ; University of Surrey
- The University of Manchester
- University of Cambridge
- ; Newcastle University
- ; University of Cambridge
- ; University of Oxford
- ; University of Warwick
- KINGS COLLEGE LONDON
- Newcastle University
- University of Newcastle
- University of Oxford
- ; King's College London
- ; St George's, University of London
- ; UWE, Bristol
- ; University of East London
- ; University of Huddersfield
- ; University of Hull
- ; University of Leeds
- ; University of Reading
- ; University of Sheffield
- ; University of Strathclyde
- Abertay University
- Harper Adams University
- Imperial College London
- Loughborough University
- Oxford Brookes University
- UNIVERSITY OF EAST LONDON
- University of Birmingham
- University of Bristol
- University of Greenwich
- University of Manchester
- University of Nottingham;
- University of Warwick
- 40 more »
- « less
-
Field
-
of the particle fuel, crack initiation/propagation and failure mechanisms in relation to test temperature. Finite element (FE) modelling using FE tools such as Abaqus, (or) Ansys, (or) COMSOL is optional
-
including machine learning. This research will support the path to net zero flights and there will be opportunities to become involved in practical aspects of fuel system design and testing during their PhD
-
, potentially including machine learning. This research will support the path to net zero flights and there will be opportunities to become involved in practical aspects of fuel system design and testing during
-
awareness capabilities. The PhD will involve both simulation and experimental work. This includes designing and testing optical instrumentation and conducting observation campaigns to image and track
-
markers. Develop machine learning models capable of predicting Category 1 emergencies based on real-time audio features extracted from calls. Work iteratively with YAS researchers to test and refine
-
the design of the nozzle. The work will include the design of a scale- up dispersion system and perhaps the construction of a large-scale dispersion system which can be tested at ground level. There is no
-
from which a continuous emulsion flow and recycled gas flow is taken. The work will include the design and scaleup and perhaps the construction of a large-scale system which can be tested at ground
-
from which a continuous emulsion flow and recycled gas flow is taken. The work will include the design and scaleup and perhaps the construction of a large-scale system which can be tested at ground
-
the design of the nozzle. The work will include the design of a scale- up dispersion system and perhaps the construction of a large-scale dispersion system which can be tested at ground level. There is no
-
computational tools to support the safe and ethical deployment of AI in clinical settings. The research focus is on AI performance monitoring, distribution shift detection, bias assessment, and stress testing