Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Chalmers University of Technology
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Argonne
- Oak Ridge National Laboratory
- University of Lund
- Aarhus University
- Academic Europe
- Carnegie Mellon University
- DIFFER
- Lunds universitet
- Nature Careers
- Pennsylvania State University
- Technical University of Denmark
- The Cyprus Institute
- Universidade do Minho
- University of Miami
- University of North Carolina at Chapel Hill
- University of Oxford
- University of Southern Denmark
- Université de Pau et des Pays de l'Adour
- Virginia Tech
- 11 more »
- « less
-
Field
-
) and advanced CFD tools, primarily OpenFOAM, with the possibility to use Nek5000 or LBM frameworks as appropriate for specific tasks. Work duties The main duties involved in a post-doctoral position is
-
, components, overall system performance) Numerical methods and simulation tools (e.g., Python/Matlab, CFD modelling, optimization) Beyond technical skills, we value people who contribute to a healthy and
-
computational fluid dynamics (CFD), cardiovascular modeling, or biomechanical growth and remodeling. Demonstrated experience with numerical methods (e.g., finite element method), programming languages (C
-
) and Computational Fluid Dynamics (CFD), for polymer composite manufacturing processes Perform multi-physics simulations involving coupled thermal, mechanical, and material behavior across multiple
-
. Process simulation, cost, life cycle, and social assessment of CCUS value chains. Reactor design, optimization, and sizing using phenomenological and/or CFD methods. Energy system analysis. Strong
-
completed at the deadline for applications, including those resulting from academic degree recognition processes. Preferential Requirements: Proven experience in numerical simulation, namely CFD applied
-
particle lifetime. You will combine experiments and simulations (CFD-DEM, population balance modeling) to study breakage behavior, supported by mechanical testing and in-situ micro-computed tomography (µCT
-
for modeling multiphase flows governed by complex, nonlinear dynamics across multiple scales. The postdoctoral researcher will investigate how to develop complement/augment classical CFD methods with quantum
-
several industrial and academic partners. The candidate will work with high-performance computing resources (NAISS) and advanced CFD tools, primarily OpenFOAM, with the possibility to use Nek5000 or LBM
-
learning, active learning, etc) Desired: understanding of fusion edge plasmas transport physics Desired: Experience with transport solvers of CFD-type (optional) Experience with (dynamic) simulations in