Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- Cranfield University
- ; Swansea University
- University of Nottingham
- ; The University of Manchester
- ; University of Birmingham
- ; University of Exeter
- ; University of Nottingham
- ; University of Southampton
- ; University of Warwick
- University of Cambridge
- ; Brunel University London
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; Newcastle University
- ; University of Oxford
- ; University of Plymouth
- ; University of Reading
- AALTO UNIVERSITY
- Imperial College London
- UNIVERSITY OF VIENNA
- University of Newcastle
- ; Cranfield University
- ; Loughborough University
- ; Manchester Metropolitan University
- ; St George's, University of London
- ; The University of Edinburgh
- ; University of Bristol
- ; University of Cambridge
- ; University of Essex
- ; University of Stirling
- ; University of Surrey
- ; University of Sussex
- Abertay University
- Durham University
- University of Oxford
- University of Sheffield
- 26 more »
- « less
-
Field
-
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
-
coefficients. This strategy carries large uncertainty and requires vast amount of expensive and time-consuming experimental data. Worse, sometimes the experimental data is simply inaccessible. The need for cost
-
distribution. This process often takes place in large scale driers where the material is heated and broken up mechanically with mixing blades. However, under certain conditions the process can break down as the
-
methods in the past. A piece of comprehensive computer software, Pythia with the corresponding capabilities have been developed and tested successfully in several industrial applications. The software can
-
experimental and theoretical quantum information and quantum technologies, and specialised training in entrepreneurship, project management, collaborative working, responsible research and innovation, science
-
. This primarily stems from the challenging materials (large/disordered unit-cells, long sampling timescales) and light-matter interactions involved. Consequently, computational tools, rooted in physics, that can