Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- Cranfield University
- ; The University of Manchester
- ; University of Warwick
- University of Nottingham
- ; University of Nottingham
- ; University of Surrey
- ; University of Birmingham
- ; University of Exeter
- ; University of Leeds
- ; University of Reading
- University of Cambridge
- ; Cranfield University
- ; The University of Edinburgh
- ; University of Oxford
- ; University of Sheffield
- ; Loughborough University
- ; Manchester Metropolitan University
- ; Newcastle University
- ; UWE, Bristol
- ; University of Bristol
- ; University of East Anglia
- Imperial College London
- University of Newcastle
- University of Sheffield
- ; Anglia Ruskin University
- ; Aston University
- ; City St George’s, University of London
- ; Durham University
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; Midlands Graduate School Doctoral Training Partnership
- ; Queen Mary University of London
- ; Swansea University
- ; University of Cambridge
- ; University of Greenwich
- ; University of Southampton
- ; University of Strathclyde
- ; University of Sussex
- Harper Adams University
- Liverpool John Moores University
- University of Birmingham
- University of Exeter
- University of Liverpool
- University of Oxford
- 34 more »
- « less
-
Field
-
This forward-looking PhD project merges performance science with advanced data analytics and machine learning to further enhance performance prediction in elite rugby union. The successful candidate
-
computer science or mechanical engineering. The candidate will have programming experience, particularly on the development of machine learning pipelines. The University actively supports equality, diversity and
-
configurations. Machine learning techniques will be incorporated to dynamically adjust PST settings in response to evolving grid conditions. This multi-layered approach aims to bridge the gap between static
-
; EPSRC Centre for Doctoral Training in Green Industrial Futures | Edinburgh, Scotland | United Kingdom | about 1 month ago
, further exploring the carbon-related impact of polymer breakdown. The project will also incorporate artificial intelligence (AI) and machine learning to optimise degradation processes and data analysis
-
thermodynamically. Performance design optimization and advanced performance simulation methods will be investigated, and corresponding computer software will be developed. The research will contribute
-
but opportunity to attend conferences and to link with industrial experts in the field. The applicant is envisioned to further enhance and develop world class skills in AI and Machine Learning with
-
established methods of microstructural analysis and mechanical testing with new schemes such as Acoustic Emission for non-destructive assessment of degradation and Machine Learning for development of predictive
-
overseas. Training can be provided in computational fluid dynamics, machine learning, and nonlinear dynamics. These skills are highly valued across a wide range of industries. Recent data reveals that Fluid
-
. Candidates must have a strong motivation for research and excellent programming skills. Expertise of developing computer vision and machine learning algorithms would be desirable, with an interest in image
-
. Simulations are suitable to characterise processes in healthy and diseased individuals including stroke patients. Machine learning methods might be considered to accelerate simulations. The project provides a