Sort by
Refine Your Search
-
Listed
-
Employer
- ;
- Cranfield University
- ; Swansea University
- University of Nottingham
- ; The University of Manchester
- University of Sheffield
- ; University of Southampton
- ; University of Surrey
- ; University of Warwick
- ; Loughborough University
- ; Newcastle University
- ; University of Birmingham
- ; City St George’s, University of London
- ; University of Bristol
- ; The University of Edinburgh
- ; University of Exeter
- ; University of Nottingham
- ; Cranfield University
- ; University of Oxford
- ; University of Sheffield
- ; University of Sussex
- ; University of Greenwich
- ; University of Leeds
- ; University of Plymouth
- ; University of Reading
- ; University of Strathclyde
- Abertay University
- ; Aston University
- ; Brunel University London
- ; Coventry University Group
- ; Durham University
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; Imperial College London
- ; Royal Northern College of Music
- ; St George's, University of London
- ; UCL
- ; University of Bradford
- ; University of Cambridge
- ; University of Copenhagen
- ; University of East Anglia
- Harper Adams University
- UNIVERSITY OF VIENNA
- University of Liverpool
- 33 more »
- « less
-
Field
-
wave power without emissions. In the PhD you will have the opportunity to explore and develop novel renewable energy harvesting systems and devise and develop new modelling approaches and conduct
-
. Experiment with ultrasonic sensors for real-time seal gap measurement. Combine experimental research and mathematical modelling to pioneer innovative sealing solutions. What We Offer Full 4-year Funding for UK
-
and modeling methodologies to address the significant concern of CRUD deposition in water-cooled reactor technology, particularly in Pressurized Water Reactors (PWR). Significance: CRUD deposition is a
-
. There is good theoretical and observational evidence that the accretion disc will likely be misaligned with the spin axis of the black hole although this is presently hard to pin down due to a lack of models
-
algorithms are used that allow a computer to process large data-sets and learn patterns and behaviours, thus allowing them to respond when the same patterns are seen in new data. This include 'supervised
-
mechanism. The integrating should enable to guarantee certain properties of the learned functions, while keep leveraging the strength of the data-driven modelling. Most of, if not all, the traditional