Sort by
Refine Your Search
-
Listed
-
Employer
- ;
- Cranfield University
- University of Nottingham
- ; The University of Manchester
- ; Manchester Metropolitan University
- ; Swansea University
- ; University of Reading
- ; University of Sussex
- ; Loughborough University
- ; University of Exeter
- ; University of Plymouth
- ; University of Southampton
- ; University of Warwick
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; University of Birmingham
- ; University of Nottingham
- ; University of Sheffield
- ; University of Surrey
- ; Anglia Ruskin University
- ; Brunel University London
- ; Cranfield University
- ; Newcastle University
- ; Royal Holloway, University of London
- ; University of Bristol
- ; University of Essex
- ; University of Oxford
- ; University of Stirling
- UNIVERSITY OF VIENNA
- University of Sheffield
- 19 more »
- « less
-
Field
-
local extinction of large-bodied frugivorous birds and mammals, leaving structurally intact yet defaunated forests missing key ecological functions like seed dispersal for large-seeded plants. Studying
-
exposure and vulnerability to buildings, infrastructure, and people. This exciting PhD project aims to harness the latest developments in high-performance numerical models and data analytics technologies
-
-to-apply/apply-online.aspx For further information please email Professor Chris Gerada , Dr. Tianjie Zou (University of Nottingham) and Dan Walton (MTC). Facilities The MTC is an independent Research and
-
the ‘Apply’ button above. For further information please email Professor Chris Gerada , Dr. Tianjie Zou (University of Nottingham) and Dan Walton (MTC). Facilities The MTC is an independent Research and
-
research and large and thriving graduate research community. We provide an active and stimulating environment to carry out your doctoral research and have an extensive range of specialist labs and facilities
-
scattering, and rheometry will be conducted to understand the dynamics and interactions between ingredients in the liquid formulation. This information will be correlated with atomic force and electron
-
languages such as Python, and experience of Artificial Intelligence and machine learning. They will also be familiar with working with real world data and analysing data based on large and diverse datasets
-
) approaches, along with Large Eddy Simulation, have demonstrated maturity in the prediction of many buoyancy-driven flows but require extensive validation. Two- and three-dimensional Computational Fluids
-
V236E (ε3), which reduce the risk of AD by 2–3 times. This project will use bioinformatics and big data and induced pluripotent stem cell (iPSC) models —cells generated in the lab that can mimic brain
-
for example synchrotron based experiments. More information on these facilities can be found; There will be many rewards: Working as part of a large and experienced team across the cohorts will ensure a