Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- Cranfield University
- ; Swansea University
- University of Nottingham
- ; The University of Manchester
- ; University of Southampton
- ; University of Birmingham
- ; University of Exeter
- UNIVERSITY OF VIENNA
- University of Cambridge
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; Newcastle University
- ; The University of Edinburgh
- ; University of Nottingham
- ; University of Warwick
- AALTO UNIVERSITY
- Imperial College London
- University of Newcastle
- University of Sheffield
- ; Brunel University London
- ; Cranfield University
- ; King's College London
- ; Loughborough University
- ; Manchester Metropolitan University
- ; St George's, University of London
- ; UCL
- ; University of Bristol
- ; University of Cambridge
- ; University of Oxford
- ; University of Plymouth
- ; University of Reading
- ; University of Stirling
- ; University of Surrey
- Abertay University
- Durham University
- University of Oxford
- 26 more »
- « less
-
Field
-
October 2025 Application deadline: 30 June 2025 Please apply here https://www.nottingham.ac.uk/pgstudy/how-to-apply/apply-online.aspx For further information please email Professor Chris Gerada , Dr
-
Start date: 1 October 2025 Application deadline: 30 June 2025 Please apply here https://www.nottingham.ac.uk/pgstudy/how-to-apply/apply-online.aspx For further information please email Professor Chris
-
longer than 1 page) that includes information on your research and teaching and professional practice experience and vision for how you would like to develop your research and teaching in the future
-
us to run large numerical simulations with billions grid points on mixed computer architectures including CPU and GPU machines. A current project is preparing the code set for the next generation of
-
environment. Accurately predicting flow and heat transfer in these systems is critical for safety, performance, and design assessments, yet direct high-fidelity simulations, such as Large Eddy Simulation (LES
-
programming skills (in Python, R or similar) and experience with large-scale data analysis using bioinformatic tools and pipelines to analyse and interpret biological data Attributes and Behaviour • Be
-
learning models of quantum chemistry can achieve fast and accurate predictions, but comprehensive data sets for reaction barriers of large molecules simply do not exist. Several recent works have attempted
-
landscape, from SMEs and start-ups to OEMs and large-scale global manufacturers. For more information please visit the MTC website . Contact For further information on this PhD position please contact Dr
-
connectivity seen in large scale brain recordings. These describe correlations between brain regions and can evolve over tens of seconds, with essentially discontinuous shifts from one short term state
-
advanced simulation methods, including Reynolds-Averaged Navier-Stokes (RANS), Direct Numerical Simulations (DNS), and/or Large Eddy Simulations (LES), will be employed to accurately model the complex flow