Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- Cranfield University
- University of Nottingham
- University of Manchester
- ; Swansea University
- University of Cambridge
- ; The University of Manchester
- ; University of Birmingham
- University of Sheffield
- ; University of Exeter
- ; University of Surrey
- ; Newcastle University
- ; The University of Edinburgh
- ; University of Nottingham
- ; University of Southampton
- ; Cranfield University
- ; University of Oxford
- Harper Adams University
- University of Oxford
- ; City St George’s, University of London
- ; Loughborough University
- ; University of Leeds
- ; University of Sheffield
- ; University of Warwick
- AALTO UNIVERSITY
- Newcastle University
- University of Newcastle
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; University of Bristol
- Imperial College London
- The University of Manchester
- ; Brunel University London
- ; King's College London
- ; University of Cambridge
- ; University of Strathclyde
- Abertay University
- University of Bristol
- University of Warwick
- ; Imperial College London
- ; Lancaster University
- ; University of East Anglia
- ; University of Reading
- ; University of Sussex
- Aston University
- UNIVERSITY OF VIENNA
- University of Birmingham
- ; Aston University
- ; Coventry University Group
- ; Durham University
- ; Manchester Metropolitan University
- ; Royal Northern College of Music
- ; St George's, University of London
- ; University of Greenwich
- ; University of Hertfordshire
- ; University of Huddersfield
- ; University of Plymouth
- ; University of Stirling
- Durham University
- Heriot Watt University
- KINGS COLLEGE LONDON
- King's College London
- Loughborough University
- Manchester Metropolitan University
- Nature Careers
- Nottingham Trent University
- Oxford Brookes University
- Swansea University
- UCL
- UNIVERSITY OF MELBOURNE
- University of Cambridge;
- University of Glasgow
- University of Greenwich
- University of Hertfordshire
- University of Liverpool
- University of London
- University of Nottingham;
- University of Plymouth
- 67 more »
- « less
-
Field
-
Development of novel processing techniques Modelling techniques that can inform the direction of experimental activity Physical, mechanical and materials characterisation techniques Data-driven approaches
-
to work with an international team on developing cutting-edge novel demographic, statistical and computational methods in estimating, modelling and forecasting measures of health, well-being, and human
-
correction. This machine-learning approach, however, needs a realistic model of light propagation in the retina in order to validate it and to generate the large volumes of training data required. Funding
-
the interpretability of these models can be enhanced to support clinical decision-making. This project will leverage the complementary expertise of both supervisory teams in EEG signal processing, graph deep learning
-
to symmetry breaks in the patterning process. A hybrid modelling approach integrating the dynamics of a core network while utilising a virtual template from experiments for cellular growth and division will be
-
motion and the viewing perspective of the observer (Nikolaidis et al, 2016). This project will develop continuous models of action legibility using these sources of information from data collected in a
-
capabilities needed for truly sustainable operations. Research Question: How can AI-enhanced digital twin technologies with advanced optimisation algorithms transform manufacturing processes to achieve
-
nanometre-sized optical structures for intelligent manipulation of light. They require only simplistic (microelectronics-compatible) fabrication processes, and have the potential to replace previous optical
-
nanometre-sized optical structures for intelligent manipulation of light. They require only simplistic (microelectronics-compatible) fabrication processes, and have the potential to replace previous optical
-
to symmetry breaks in the patterning process. A hybrid modelling approach integrating the dynamics of a core network while utilising a virtual template from experiments for cellular growth and division will be