Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Nottingham
- ;
- Cranfield University
- ; The University of Manchester
- ; University of Surrey
- UNIVERSITY OF VIENNA
- ; University of Nottingham
- AALTO UNIVERSITY
- University of Cambridge
- ; Swansea University
- University of Newcastle
- ; University of Birmingham
- ; University of Exeter
- ; University of Oxford
- Imperial College London
- The University of Manchester
- ; Brunel University London
- ; Imperial College London
- ; King's College London
- ; Loughborough University
- ; Newcastle University
- ; St George's, University of London
- ; The University of Edinburgh
- ; University of Bristol
- ; University of Cambridge
- ; University of Hull
- ; University of Leeds
- ; University of Sheffield
- ; University of Sussex
- ; University of Warwick
- Aston University
- Brunel University
- Harper Adams University
- Heriot Watt University
- King's College London
- Newcastle University
- THE HONG KONG POLYTECHNIC UNIVERSITY
- UNIVERSITY OF MELBOURNE
- University of Birmingham
- University of Bristol
- University of Exeter
- University of Greenwich
- University of Hertfordshire
- University of Sheffield
- 34 more »
- « less
-
Field
-
Characterisation" "Data Science and Machine Learning in Materials" "Plastics Recycling and Circular Economy" Research theme: "Materials Characterisation" "Data Science and Machine Learning in Materials" "Plastics
-
dynamically managing power flow, improving system flexibility, and mitigating transmission constraints. However, conventional methods for PST deployment often consider sizing, placement, and control in
-
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
-
Hydrogen is the most abundant molecule in the universe, and its interaction with surfaces plays a key role in a huge range of processes, from star formation to the safe storage of rocket fuel
-
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
-
. Cranfield 737-400: Aircraft Instrumentation and Environmental Control Systems (AID, ECS): A full-scale Boeing 737-400 aircraft equipped with instrumentation for studying environmental control systems and
-
Application deadline: 01/08/2025 Research theme: Turbulence, Fluid Mechanics, Offshore Conditions, Renewable Energy, Hydrodynamics, Experiments This 3.5 year PhD is fully funded for applicants from
-
Instrumentation and Environmental Control Systems (AID, ECS): A full-scale Boeing 737-400 aircraft equipped with instrumentation for studying environmental control systems and other onboard systems, providing a
-
Environmental Control Systems (AID, ECS): A full-scale Boeing 737-400 aircraft equipped with instrumentation for studying environmental control systems and other onboard systems, providing a realistic environment
-
group have developed an AI-enabled system which can extract detailed retinal vasculometry characteristics from colour fundus photographs (CFPs) in a fully automated way, allowing application to large