Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Cranfield University
- ;
- Technical University of Denmark
- ; The University of Manchester
- DAAD
- ; University of Warwick
- RMIT University
- University of Sheffield
- ; Brunel University London
- ; Cranfield University
- ; University of Sheffield
- Nature Careers
- University of Adelaide
- University of Cambridge
- University of Twente
- ; Loughborough University
- ; Swansea University
- ; The University of Edinburgh
- ; University of Surrey
- Ariel University
- Chalmers University of Technology
- ETH Zurich
- Empa
- Helmholtz-Zentrum Geesthacht
- Leibniz
- Linköping University
- Max Planck Institute for Sustainable Materials •
- Monash University
- Mälardalen University
- NTNU - Norwegian University of Science and Technology
- Queensland University of Technology
- Technical University of Munich
- Umeå University
- Universiteit van Amsterdam
- Universiti Teknologi PETRONAS
- University of Antwerp
- University of Copenhagen
- University of Nottingham
- Utrecht University
- 29 more »
- « less
-
Field
-
formation. Complementing these experimental efforts, Computational Fluid Dynamics (CFD) simulation will be employed to interpret CRUD build-up measurements, identify key phenomena influencing CRUD deposition
-
; excellent skills in scientific programming and numerical / statistical analysis of simulated and observed data; basic knowledge of (geophysical) fluid dynamics; excellent writing and communication skills
-
. This presents an opportunity to push the boundaries of fundamental fluid and atmospheric dynamics, enhance wind farm efficiency, and deepen our understanding of their interaction with the atmosphere. Join us in
-
will use advanced unsteady computational fluid dynamic methods for the analysis of coupled intake/fan configurations in crosswind and high-incidence conditions. The research will adopt these methods
-
of complex, dynamic flows relevant to closely coupled engine aircraft configurations. You’ll join a pioneering multidisciplinary team that values equity, diversity, and inclusion, gaining unique expertise in
-
with engineering, physics, mathematics, acoustics, fluids, electronics or instrumentation background. Prior experience in computational modelling is beneficial, but not mandatory. Similarly, experience
-
fluid and atmospheric dynamics while developing simulation technologies. Our aim is to create innovative simulation strategies enabling simulations with unparalleled detail. Join us in advancing the
-
I offer projects broadly related to supernova explosions and the final stages in the lives of massive stars. Specific topics of interest include fluid dynamics processes in stellar explosions and
-
of CO2 propagation in heterogeneous media while accounting for diverse factors that influence flow dynamics. As part of this project the student will undertake a remote internship with Shell to produce
-
messengers transported by the flow or even the pressure of the fluid itself. In an interdisciplinary team, you will either develop theoretical models of the feedback between flow and network architecture