Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- ;
- University of Sheffield
- University of Oxford
- Cranfield University
- KINGS COLLEGE LONDON
- Imperial College London
- University of Birmingham
- University of Cambridge
- University of Glasgow
- University of Manchester
- University of Nottingham
- AALTO UNIVERSITY
- UNIVERSITY OF SOUTHAMPTON
- UNIVERSITY OF VIENNA
- Durham University
- Nature Careers
- University of Bristol
- DURHAM UNIVERSITY
- Heriot Watt University
- Nottingham Trent University
- UNIVERSITY OF SURREY
- ; Newcastle University
- ; Swansea University
- ; The University of Manchester
- King's College London
- University of Surrey
- ; University of Exeter
- ; University of Leeds
- Aston University
- Lancaster University
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Swansea University
- The University of Southampton
- Ulster University
- University of London
- University of West London
- Wenzhou Business College
- ; Brunel University London
- ; Technical University of Denmark
- ; University of Bristol
- ; University of Cambridge
- ; University of Oxford
- ; University of Sheffield
- ; University of Southampton
- ; University of Surrey
- Arden University
- Birmingham City University
- Cardiff University
- City University London
- Glyndwr University
- Harper Adams University
- Heriot-Watt University;
- Kingston University
- Loughborough University
- Manchester Metropolitan University
- Newcastle University;
- Oxford Brookes University
- Queen Mary University of London;
- The Francis Crick Institute;
- UNIVERSITY OF GREENWICH
- University of Cambridge;
- University of Greenwich
- University of Leeds
- University of Leicester
- University of Newcastle
- University of Northampton
- University of Winchester
- University of the West of England
- 58 more »
- « less
-
Field
-
optimise the algorithms for optimal process control. The research will benefit from the available experimental facilities including laboratory-scale digesters, excellent analytical facilities, expertise in
-
between the brain signals of different subjects. The aim of this project is developing new adaptive and machine learning algorithms to successfully decode brain signals across subjects. The prospective
-
of the system is within the set at some time, then it is guaranteed to remain within the set for all future times. Therefore, being able to characterize and compute these sets is of prime importance when
-
finite element modelling to simulate the deformation of microstructures, novel crack propagation simulation techniques and scale-transition algorithms. The model will be informed and validated using full