Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Technical University of Denmark
- University of Sheffield
- CNRS
- DAAD
- Empa
- Nature Careers
- Cranfield University
- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); Delft
- ETH Zürich
- Eindhoven University of Technology (TU/e)
- Forschungszentrum Jülich
- Mälardalen University
- Technical University Of Denmark
- Université Libre de Bruxelles (ULB)
- ; The University of Edinburgh
- ; The University of Manchester
- ; University of Birmingham
- ; University of Surrey
- ARCNL
- Ariel University
- Brunel University London
- Centre Internacional de Mètodes Numèrics en la Enginyeria
- Chalmers University of Techonology
- Dublin City University
- Duke University
- Ecole Polytechnique Federale de Lausanne
- Eindhoven University of Technology (TU/e); Eindhoven
- Eindhoven University of Technology (TU/e); yesterday published
- Fureho AB
- Helmholtz Zentrum Hereon
- Instituto Superior Técnico
- Manchester Metropolitan University;
- Max Planck Institute for Sustainable Materials GmbH, Düsseldorf
- Max Planck Institute for Sustainable Materials •
- Max Planck Institutes
- Monash University
- National Renewable Energy Laboratory NREL
- Queensland University of Technology
- School of Business, Society and Engineering
- UiT The Arctic University of Norway
- Universidade de Coimbra
- Universitat Politècnica de València
- University of Antwerp
- University of Birmingham
- University of Newcastle
- University of Paris-Saclay
- University of Pittsburgh
- University of Twente
- University of Twente (UT)
- Université Paris-Saclay (UPS)
- Wageningen University & Research
- Wetsus - European centre of excellence for sustainable water technology
- 43 more »
- « less
-
Field
-
and modelling techniques. Real-World Impact: Contribute to transformative technologies in clean energy and carbon capture. Future job opportunities: Digital modelling and computational fluid dynamics
-
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
-
capture technologies. In this project, you will: Develop a 3D Digital Model: Create an advanced computational model of high-pressure mechanical seals. Apply Computational Fluid Dynamics (CFD): Simulate gas
-
overseas. Training can be provided in computational fluid dynamics, machine learning, and nonlinear dynamics. These skills are highly valued across a wide range of industries. Recent data reveals that Fluid
-
overcomes the geographic limitations of conventional systems, enabling global scalability and accessibility. Using advanced computational fluid dynamics (CFD) approaches, the project is aimed at advancing
-
with engineering, physics, mathematics, acoustics, fluids, electronics or instrumentation background. Prior experience in computational modelling is beneficial, but not mandatory. Similarly, experience
-
applied physics other related disciplines. Demonstrated knowledge in at least one of the following areas: porous media flow computational fluid dynamics (CFD) pore-network modelling lattice Boltzmann method
-
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