Sort by
Refine Your Search
-
Listed
-
Employer
- University of Sheffield
- ;
- University of Glasgow
- University of Oxford
- UNIVERSITY OF VIENNA
- Durham University
- Heriot Watt University
- Hult
- KINGS COLLEGE LONDON
- Nottingham Trent University
- University of Cambridge
- University of Bristol
- University of Leicester
- Birmingham City University
- Cardiff University
- DURHAM UNIVERSITY
- Imperial College London
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- The University of Southampton
- UNIVERSITY OF SOUTHAMPTON
- University of Birmingham
- King's College London
- Kingston University
- Loughborough University
- AALTO UNIVERSITY
- Aston University
- Bangor University
- CZECH UNIVERSITY OF LIFE SCIENCES
- City University London
- Cranfield University
- Falmouth University
- MOHAMED BIN ZAYED UNIVERSITY OF ARTIFICIAL INTELLIGENCE
- Manchester Metropolitan University
- Nature Careers
- THE HONG KONG POLYTECHNIC UNIVERSITY
- UNIVERSITY OF MELBOURNE
- UNIVERSITY OF SURREY
- University Of The Arts London;
- University of Bath
- University of Brighton
- University of Cambridge;
- University of London
- University of Manchester
- University of Newcastle
- University of Nottingham
- University of Reading
- University of Ulster
- University of the West of England
- VIETNAMESE-GERMAN UNIVERSITY
- binx health;
- 40 more »
- « less
-
Field
-
have an excellent first degree and/or Masters degree in a mathematical or engineering-related subject. A background in control/systems theory and convex optimization is desirable Full details of how
-
will be validated against measurement data. The successful outcome of this research will be very useful for biomass fuel selection and combustion system optimization for power generation plant co-firing
-
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
-
understand the local and organisational business environment and deliver procurement solutions that provide optimal value and outcomes for the University whilst meeting our regulatory obligations. The post is