Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- The University of Manchester
- The University of Manchester;
- University of Exeter;
- Cranfield University
- The University of Edinburgh;
- University of East Anglia
- University of Newcastle
- University of Plymouth
- ; The University of Edinburgh
- Edinburgh Napier University;
- Imperial College London;
- King's College London Department of Engineering
- Loughborough University
- Loughborough University;
- Newcastle University
- Newcastle University;
- The University of Edinburgh
- University of Birmingham;
- University of East Anglia;
- University of Exeter
- University of Warwick
- 11 more »
- « less
-
Field
-
to train tomorrow’s leaders in earth and environmental science. For further details about the programme please see http://nercgw4plus.ac.uk/ For eligible successful applicants, the studentships comprises
-
to train tomorrow’s leaders in earth and environmental science. For further details about the programme please see http://nercgw4plus.ac.uk/ For eligible successful applicants, the studentships comprises
-
introduce predictable spatial structuring in bird impacts that scale up to shape ecosystem function. However, multiple climate factors are changing seabird distributions, and humans can further modify where
-
as early indicators of anthropogenic and climate-driven change. However, limited understanding of the processes shaping species’ biogeographic distributions constrains our ability to predict ecological
-
confined battery geometries. Advanced modelling—including computational fluid dynamics (CFD) and transient thermal analysis—is required to accurately capture heat flux distributions, temperature uniformity
-
, particularly in computer networks, operating systems, computer architecture and distributed systems Excellent programming, system building and measurement skills are required Be familiar with, and ideally worked
-
Boltzmann method simplifies the numerical treatment of fluid flows by evolving particle distribution functions across straight lines on a computational grid, rather than evolving the trajectories of the flow
-
different VME types. Build predictive spatial models for VME distribution and resilience under future climate scenarios. Training The candidate will gain skills in: Deep-sea survey techniques using remotely
-
. Changes in water table pre- and post-restoration will be monitored using the existing network of piezometers distributed across the floodplain and additional piezometers installed. Additional measurements
-
architected materials or metamaterials (MTM) that can undergo targeted non-linear response. You will develop a computational framework that can reveal novel Multiphysics (thermo-mechanical) MTM solutions