Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- ;
- Cranfield University
- Curtin University
- University of Groningen
- ; Brunel University London
- ; Swansea University
- ; University of Nottingham
- ; University of Surrey
- ; University of Sussex
- Ariel University
- CWI
- Fraunhofer-Gesellschaft
- Leiden University
- Linköping University
- NTNU - Norwegian University of Science and Technology
- Nature Careers
- UNIVERSITY OF EAST LONDON
- Universiteit van Amsterdam
- University of East London
- University of Glasgow
- 10 more »
- « less
-
Field
-
computing and analysis of data will enable the development of control mechanisms that will overcome one of the major barriers for exploiting the benefits of hybrid propellant propulsion systems. The project
-
electronics, embedded programming, signal processing, vibration measurement and analysis, maintenance engineering, and electro-mechanical engineering. Funding This is a self-funded PhD. Find out more about fees
-
for faster medical imaging with reduced radiation dose. The focus will be on (cone beam) CT and its use in image-guided interventions in oncology. One of the main challenges is to deal with high noise levels
-
how AI can be used to analyse speech and language in this type of research. The project will build on ISEY’s previous research which found that overall noise levels in a class of 4–5-year-olds were
-
challenges within EM, such as image noise, artifacts, the optimization of acquisition parameters, and the integration of information from various EM techniques. The overall goal is to improve the output of EM
-
or other weak points where partial discharges have started can be made with advanced online detection methods. This includes both injection of high frequency signals and analysis of the response
-
schematics, layout, test benches and simulation Design blocks as Op-amp, LDO, VCO, PLL, voltage or current reference circuits Develop innovative analog design solutions to enhance signal integrity, noise
-
build on ISEY’s previous research which found that overall noise levels in a class of 4–5-year-olds were lower when matched activities were conducted outside (even on urban school grounds) compared
-
how AI can be used to analyse speech and language in this type of research. The project will build on ISEY’s previous research which found that overall noise levels in a class of 4–5-year-olds were
-
”. Research topics on vision based techniques for vibration measurements, artificial intelligence techniques, data analysis and signal processing techniques for structural health monitoring are covered in