Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Nottingham
- Cranfield University
- ;
- University of Cambridge
- ; Swansea University
- ; University of Nottingham
- ; The University of Manchester
- AALTO UNIVERSITY
- The University of Manchester
- ; City St George’s, University of London
- ; The University of Edinburgh
- ; University of Exeter
- ; University of Southampton
- ; University of Warwick
- University of Newcastle
- ; University of Surrey
- Harper Adams University
- Imperial College London
- University of Bristol
- University of Cambridge;
- University of Oxford
- ; King's College London
- ; University of Cambridge
- ; University of Sheffield
- Abertay University
- Bangor University
- Newcastle University
- Northumbria University;
- The University of Edinburgh
- The University of Manchester;
- UNIVERSITY OF VIENNA
- University of Sheffield
- University of Sussex
- University of Warwick;
- ; Aston University
- ; Brunel University London
- ; Coventry University Group
- ; Cranfield University
- ; Imperial College London
- ; Loughborough University
- ; Newcastle University
- ; St George's, University of London
- ; UWE, Bristol
- ; University of Birmingham
- ; University of Bristol
- ; University of Hull
- ; University of Leeds
- ; University of Plymouth
- ; University of Reading
- ; University of Sussex
- Brunel University London
- Coventry University Group;
- Durham University
- Heriot Watt University
- Heriot-Watt University;
- King's College London;
- Nature Careers
- The Medicines And Healthcare Products Regulatory Agency;
- The University of Edinburgh;
- UCL
- University of Birmingham
- University of Exeter
- University of Glasgow
- University of Hertfordshire
- University of Liverpool
- University of London
- University of Nottingham;
- University of Reading
- University of Strathclyde;
- University of Warwick
- 60 more »
- « less
-
Field
-
., health and climate/environmental data) and could include a range of data science methods, such as utilising geographical information systems (GIS), statistical analysis, machine learning, deep learning
-
treatments. To date, there are few techniques that integrate AI and digital twins to improve patient outcomes. Your Role In this project, you will develop new methods that combine AI and digital twins
-
-based method to approximate the CFD-revealed effects of liquid metal convection on molten pool temperature predictions. • Designing and conducting instrumented WA-DED experiments to validate the developed
-
such as transportation and heating. These two transformations create a need for sophisticated planning methods and processes that result in actionable plans by proactively considering high-impact forces
-
on the reliability of the transformers. Hence this research aims to develop a multi-objective optimisation method to incorporate carbon footprint, total cost of ownership and the transformer reliability in selecting
-
management—are encouraged to apply. Methodological approaches are flexible and may include qualitative, quantitative, or mixed methods, depending on the research focus. Exemplary research topics include (but
-
validated surface functionalisation methods that significantly improve metascintillator performance, accelerating the development of advanced radiation detectors for ToF-PET and enhancing early cancer
-
could increase the process build rate, and thus reduce carbon emissions, and uptake for this process across a wide range of sectors, offering solutions not possible by conventional manufacturing methods
-
in clinical settings Crucially, the curation of a contemporary public programme will serve as the central method of investigation. The studentship will be based at the University’s new City Campus
-
of innovative computational methods using Big Data, Behavioural Science and Machine Learning to understand behaviour through the lens of digital footprint/“smart data” datasets, cutting across sectors ranging