Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Newcastle University
- University of Nottingham
- Forschungszentrum Jülich
- DAAD
- Delft University of Technology (TU Delft)
- Empa
- KU LEUVEN
- Nature Careers
- Swansea University
- University of Sheffield
- Uppsala universitet
- Aalborg Universitet
- Aalborg University
- Brunel University London
- CNRS
- Cranfield University
- Delft University of Technology (TU Delft); Published yesterday
- Eindhoven University of Technology (TU/e); yesterday published
- Imperial College London;
- Inria, the French national research institute for the digital sciences
- Linköping University
- Newcastle University;
- Queensland University of Technology
- The University of Edinburgh
- The University of Manchester
- Universidade de Vigo
- Universitat Autonoma de Barcelona
- Universitat Politècnica de València
- University of Birmingham;
- University of Bristol;
- University of East Anglia
- University of Newcastle
- University of Sheffield;
- University of Surrey
- 24 more »
- « less
-
Field
-
Inria, the French national research institute for the digital sciences | Toulouse, Midi Pyrenees | France | 20 days ago
-physical interactions between aerodynamics, propulsion, structures and materials. The systematic verification and validation of these models allows to integrate CFD in the certification process, reducing our
-
, migration, and accumulation of precipitated particles in CO2–water–rock systems using computational fluid dynamics (CFD) coupled with discrete element method (DEM). The research outcomes will provide critical
-
fluid dynamics (CFD), to create a dynamic, perfused system that mimics the human synovial environment. The platform will allow us to test how gut-derived immune signals influence joint inflammation
-
confined battery geometries. Advanced modelling—including computational fluid dynamics (CFD) and transient thermal analysis—is required to accurately capture heat flux distributions, temperature uniformity
-
Synovium-on-a-Chip, using 3D bioprinting, microfluidic engineering, and computational fluid dynamics (CFD), to create a dynamic, perfused system that mimics the human synovial environment. The platform will
-
of the following: numerical methods, high-performance computing (HPC), Computational Fluid Dynamics (CFD), applied mathematics, physics, engineering or subsurface flow modelling. Enthusiasm
-
validation of the numerical model. Candidates should be holding a MSc degree in Engineering (or equivalent), with demonstrated experience in computational fluid dynamics (CFD), preferably in hydraulic
-
engineering, physics and applied mathematics. You should have experience in one or more of the following: numerical methods, high-performance computing (HPC), Computational Fluid Dynamics (CFD), applied
-
: Professional experience in universities and companies in the field of numerical simulation of heat treatments (punctuation: 20) Item 03: Proven expertise in CFD, particularly in steel heat treatment issues and
-
in another way. Knowledge of mathematical modeling, building simulation, CFD or measurements is an advantage. You also have a genuine interest in energy issues in general and see this as an important