55 postdoc-computational-fluid-dynamics-"Prof" Postdoctoral positions at Oak Ridge National Laboratory in United States
Sort by
Refine Your Search
-
) Group at Oak Ridge National Laboratory (ORNL) is seeking several qualified applicants for postdoctoral positions related to Computational Fluid Dynamics. Mathematical topics of interest include structure
-
to Computational Fluid Dynamics. Mathematical topics of interest include structure-preserving finite element methods, advanced solver strategies, multi-fluid systems, surrogate modeling, machine learning, and
-
related to gas dynamics, plasma physics, and radiation transport. The position comes with a travel allowance and access to advanced computing resources. The MMD group is responsible for the design and
-
Requisition Id 15420 Overview: The Multiscale Methods and Dynamics (MMD) Group at Oak Ridge National Laboratory (ORNL) is seeking several qualified applicants for postdoctoral positions related
-
Sciences Division (CSD), Physical Sciences Directorate, at Oak Ridge National Laboratory (ORNL). The postdoc will perform molecular dynamics simulations, statistical mechanics (e.g., rate theory) and
-
Oak Ridge National Laboratory, Mathematics in Computation Section Position ID: ORNL-POSTDOCTORALRESEARCHASSOCIATE2 [#27206] Position Title: Position Location: Oak Ridge, Tennessee 37831
-
Requisition Id 15422 Overview: The Multiscale Methods and Dynamics (MMD) Group at Oak Ridge National Laboratory (ORNL) is seeking several qualified applicants for postdoctoral positions related
-
computed tomography (CT) reconstruction, including sparse-view and limited-angle algorithms, and the application of advanced machine learning (ML) and computational imaging methods to scientific and
-
computations relevant to the development of strategic nuclear performance codes for nuclear reactors. This position resides in the Radiation Effects and Microstructural Analysis Group (REMAG) in the Materials in
-
for state-of-the-art high performance computing architectures. Study the dynamics and properties of lattice models of nonequilibrium quantum materials using innovative computational techniques. Collaborate