Sort by
Refine Your Search
-
Category
-
Employer
- University of Nottingham
- ;
- ; The University of Manchester
- AALTO UNIVERSITY
- Cranfield University
- Imperial College London
- UNIVERSITY OF VIENNA
- ; Imperial College London
- ; Swansea University
- ; University of Birmingham
- ; University of Exeter
- ; University of Greenwich
- ; University of Nottingham
- ; University of Reading
- ; University of Sheffield
- ; University of Warwick
- 6 more »
- « less
-
Field
-
of polycrystalline metals. The post holder will be located in Central Cambridge, Cambridgeshire, UK. The key responsibilities and duties include setting up the framework; validating the results using theory and
-
, the link arises because APE is created at high latitudes by strong surface cooling, cause APE anomalies to propagate along the western boundary. To test the new theory, the aim will be to diagnose the AMOC
-
into hydrogen and nitrogen under practical onboard conditions. Successful candidate will develop and apply computational methods, such as density functional theory based atomistic modelling and machine learning
-
Photovoltaic Modelling for Performance Optimisation Theme 3: AI-Enhanced Coordination of Renewable Energy for Smarter Grid Management Theme 4: Decoding Social Acceptance: The Community Lens on Large-Scale Solar
-
student will work closely with experts at national spectroscopy and imaging facilities to deliver scientific software applicable to experimental imaging data. Project Aims The aim of this project is to
-
maintenance. However, current technologies are relatively slow and not capable enough to provide quick performance, diagnostic and prognostic predictions for real time applications. With the rapid development
-
aforementioned tasks with the following actions: Develop the principles and theories for governing the scalability principles for building innovative robotics end-effectors that can access geometrically complex
-
of representative failure models for gear failures causes difficulties in their useful lifetime prediction. Critical operational parameters such as loading, speed and lubrication affect the physics of gear meshing