Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- ;
- ; The University of Manchester
- University of Manchester
- Cranfield University
- University of Nottingham
- University of Cambridge
- ; University of Birmingham
- ; Swansea University
- ; University of Nottingham
- ; University of Surrey
- ; University of Warwick
- Harper Adams University
- University of Sheffield
- ; Cranfield University
- ; The University of Edinburgh
- ; Brunel University London
- ; Loughborough University
- ; Newcastle University
- ; University of Exeter
- ; University of Sheffield
- ; University of Bristol
- ; University of Oxford
- ; University of Southampton
- AALTO UNIVERSITY
- Abertay University
- University of Liverpool
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; UWE, Bristol
- ; University of Cambridge
- ; University of Plymouth
- ; University of Reading
- Imperial College London
- THE HONG KONG POLYTECHNIC UNIVERSITY
- University of Oxford
- University of Warwick
- ; Aston University
- ; Coventry University Group
- ; Durham University
- ; Lancaster University
- ; Midlands Graduate School Doctoral Training Partnership
- ; Queen's University Belfast
- ; University of Bradford
- ; University of Essex
- ; University of Greenwich
- ; University of Huddersfield
- ; University of Hull
- ; University of Leeds
- ; University of Portsmouth
- Brunel University
- Durham University
- Heriot Watt University
- KINGS COLLEGE LONDON
- UNIVERSITY OF VIENNA
- University of Leicester
- University of Newcastle
- Utrecht University
- 46 more »
- « less
-
Field
-
. The successful candidate will be part of a team working towards advancing the modelling capabilities of geothermal systems and contribute to the following objectives: • Investigating fluid flow
-
mechanisms, with the current generation having significant drawbacks, including low energy efficiency, high operating voltage or temperature. This project will develop the materials, methods, and designs
-
nanosheets, nanotubes, etc) or hybrid (e.g. boron carbon nitride). Similarly, while water is the most studied coolant liquid, realistic applications involve dielectric fluids (e.g. benzene, pentane). Molecular
-
Computational Fluid Dynamics (CFD) to diagnose the air quality status of those spaces (presence of pollutants, ventilation, humidity) and to propose measures to improve it. Such measures might imply retrofitting
-
these robots utilise electronic, chemical, pressure, magnetic, or thermal mechanisms, with the current generation having significant drawbacks, including low energy efficiency, high operating voltage
-
join a vibrant, supportive research community (around 20-25 people involved in fluids modelling research). Collaborate with the Leonardo Centre for Tribology: Work with top researchers on experimental
-
hypothesis of the proposed research is by use of intelligent and integrated control of the input power electronics, fluid handling, and thermal control in a holistic approach, current efficiency and lifespan
-
Current modelling and simulations require either generic assumptions to be made for fluid dynamic based modelling leading to inaccuracies between modelled and experimental data or, intense
-
are invited for a full-time Research Assistantship for a period of six months. This project focuses on reducing aerofoil broadband noise, specifically turbulence–leading edge interaction noise and trailing edge
-
We are seeking a highly creative and motivated Postdoctoral Research Assistant/Associate to join the Machine Learning Group in the Department of Engineering, University of Cambridge, UK. This