Sort by
Refine Your Search
-
Listed
-
Employer
- Cranfield University
- ;
- University of Nottingham
- ; City St George’s, University of London
- ; The University of Manchester
- ; University of Nottingham
- ; Swansea University
- ; University of Exeter
- ; University of Southampton
- ; University of Surrey
- Abertay University
- The University of Manchester
- The University of Manchester;
- University of Bristol
- ; Brunel University London
- ; Coventry University Group
- ; Cranfield University
- ; Durham University
- ; Newcastle University
- ; The University of Edinburgh
- ; UCL
- ; UWE, Bristol
- ; University of Birmingham
- ; University of Bristol
- ; University of Greenwich
- ; University of Leeds
- ; University of Oxford
- ; University of Reading
- ; University of Warwick
- Harper Adams University
- King's College London;
- Loughborough University
- Oxford Brookes University
- The University of Edinburgh;
- UCL
- University of Birmingham
- University of Cambridge
- University of Exeter
- University of Nottingham;
- University of Sheffield
- University of Surrey
- University of Warwick
- 32 more »
- « less
-
Field
-
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
-
. The successful candidate will develop advanced skills in multi-modal sensor fusion, signal processing, machine learning, and integrity assessment, as well as transferable abilities in critical thinking, project
-
2025. Encouraged by the continuing success of modern machine learning (ML) techniques, researchers have become ambitious to develop ML solutions for challenging science and engineering problems with
-
Failure Analysis of Composite Sleeves for Surface Permanent Magnet Electrical Machines This exciting opportunity is based within the Power Electronics, Machines and Control (PEMC) and Composites
-
models, making the use of data-driven approaches a promising direction. This PhD project will investigate the use of data-driven and machine learning approaches, both measurement based but also model based
-
. The system will leverage cutting-edge techniques in Natural Language Processing (NLP), Machine Learning (ML), and Multimodal Analysis to conduct adaptive interviews, assess candidate responses, and generate
-
behaviour through these models using uncertainty quantification/machine-learning (UQ/ML) algorithms To optimise the manufacturing process with the help of the simulation tool To support in the development and
-
energy; thereby minimising farming’s environmental impact. AI machine learning offers a new expedient method of developing control systems for tasks that would be difficult to manage using classical
-
which there exists extensive experience in the areas of machine learning, biostatistics, and medicine: Dr Yanda Meng and Dr Tianjin Huang (Machine Learning), Prof Yalin Zheng (AI in Healthcare), A/Prof
-
Open PhD position: Autonomous Bioactivity Searching Subject area: Drug Discovery, Laboratory Automation, Machine Learning Overview: This 42-month funded PhD studentship will contribute to cutting