Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- CNRS
- Technical University of Denmark
- Harvard University
- Lunds universitet
- Nature Careers
- Princeton University
- Rutgers University
- Villanova University
- Argonne
- Delft University of Technology (TU Delft)
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- University of Kansas
- Carnegie Mellon University
- City University London
- Delft University of Technology (TU Delft); yesterday published
- Edmund Mach Foundation
- Eindhoven University of Technology (TU/e)
- Embry-Riddle Aeronautical University
- FAPESP - São Paulo Research Foundation
- Fundación IMDEA Nanociencia
- Helmholtz-Zentrum Geesthacht
- Helmholtz-Zentrum Hereon
- INRAE
- Itä-Suomen yliopisto
- KTH Royal Institute of Technology
- King Abdullah University of Science and Technology
- Medical College of Wisconsin
- Michigan Technological University
- Oak Ridge National Laboratory
- Technical University Of Denmark
- Technical University of Munich
- Texas A&M University
- The University of Arizona
- University of Amsterdam (UvA)
- University of Amsterdam (UvA); Published yesterday
- University of California
- University of Kentucky
- University of London
- University of Lund
- University of Minnesota
- University of North Carolina at Chapel Hill
- University of Southern Denmark
- Université Libre de Bruxelles (ULB)
- Virginia Tech
- 34 more »
- « less
-
Field
-
staff position within a Research Infrastructure? No Offer Description Opportunity code: Postdoctoral (RL2_SP3_WP3.6) Area/Theme: “Thermo-Fluid Dynamic Models and Flow Assurance / Optimization
-
manager is Sabine Rode. The recruited researcher will simulate flows within membrane modules using ANSYS Fluent computational fluid dynamics software. He or she will study the nature of flows and solute
-
tasks require high-frequency evaluations of forward models, in order to quantify the uncertainties of rock and fluid properties in the subsurface formations. Therefore, the objectives of this research
-
detailed flow field measurements (e.g., PIV, load cells, hot-wire/pressure probes, smoke visualization). - Analyzing and modeling unsteady aerodynamic response under dynamic pitch schedules, cross-flows, and
-
computational models to capture the Multiphysics behavior— including fluid flow, heat transfer, and reaction dynamics—governing the co-precipitation process. Leveraging the ASCC supercomputer at UM6P, three
-
position in our group on experimental realization and diagnostics of multiphase flow problems. In our project we aim to develop reliable diagnostic tools to help designing efficient removal/mixing systems
-
research visits within the international network program Instability phenomena in asymptotic models in fluid dynamics to institutes in Germany, and offers the opportunity to participate in subject related
-
) and Chemical C Computational (CC) teams at UM6P. The work aims to develop robust computational models to capture the Multiphysics behavior— including fluid flow, heat transfer, and reaction dynamics
-
destabilize these thin fluids leading to an increased risk of film rupture. Understanding the mechanisms behind pattern formation and film rupture is crucial for maintaining a stable flow. The aim
-
ocean circulation [Wang et al., 2024; Steinberg et al., 2024; Feng et al., 2025], as well as the importance of model horizontal resolution in the representation of continental shelf and slope flows [Li et