Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Newcastle University
- Cranfield University
- University of Nottingham
- Loughborough University
- University of Exeter;
- AALTO UNIVERSITY
- Imperial College London;
- KINGS COLLEGE LONDON
- University of Birmingham
- University of Cambridge;
- University of Sheffield
- University of Warwick;
- ;
- The University of Edinburgh
- The University of Manchester;
- University of Birmingham;
- University of Exeter
- University of Oxford
- University of Warwick
- Bangor University
- Brunel University London
- City St George’s, University of London
- Edinburgh Napier University;
- Imperial College London
- King's College London
- King's College London Department of Engineering
- Lancaster University
- Manchester Metropolitan University;
- Newcastle University;
- Swansea University
- The University of Manchester
- UCL
- UNIVERSITY OF VIENNA
- University of Bristol;
- University of East Anglia
- University of East Anglia;
- University of Glasgow
- University of Hertfordshire
- University of Hull
- University of Newcastle
- University of Nottingham;
- University of Oxford;
- University of Sheffield;
- University of Surrey
- 34 more »
- « less
-
Field
-
accuracy is still limited. In contrast, computational fluid dynamics (CFD) models can capture the arc physics and molten pool dynamics, including arc energy transfer and liquid metal convection within
-
verification of resilient state estimators for the eVTOL and HESS. Essential and Desirable Criteria - Background: control/mechanical/electrical engineering, physics or computer science - Essential knowledge
-
. Your experience and ambitions Master degree in architecture, engineering, or other relevant field Experience in life cycle assessment (LCA) and energy simulation, knowledge of One Click LCA and IDA-ICE
-
, PhD Sharon Rossiter, PhD Application process To apply for the studentship please complete the application form via the above 'Apply' button and email it with a copy of your CV, two academic references
-
modelling tools to understand and tailor the physical and chemical interactions at the interfaces within metascintillators. Cranfield University’s Centre for Materials is internationally recognised
-
novel computational imaging and sensing techniques for compact imaging systems. These systems are applicable to all sectors which require compact imaging specifications, but will have a primary focus on
-
model of high-pressure mechanical seals. Apply Computational Fluid Dynamics (CFD): Simulate gas film flow within the microscopic seal gap. Couple CFD with Structural Models: Study the fluid-structure
-
, mathematics and the physical sciences. Students should be able to demonstrate aptitude for computer modelling and enthusiasm to address real-world problems of great policy significance. Number Of Awards One
-
: Computational Modelling: Employing simulation tools (e.g., GEANT4, light transport) to explore novel metamaterial designs, predict performance, and optimise key parameters such as timing resolution, light yield
-
University explores synergies between nonlinear control theory and physics informed machine learning to provide formal guarantees on performance, safety, and robustness of robotic and learning-enabled systems