Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
understanding of parallel application development techniques (parallel programming models, algorithms, and software) Preferred Qualifications: Experience in implementing ab initio simulation codes such as VASP
-
the following areas is preferred, and an exceptionally strong candidate in a single area is also encouraged to apply. Relevant areas include: Parallel and distributed graph and or ML algorithms
-
represent the organization by giving technical presentations to DOE program managers and in large public forums. Basic Qualifications: A PhD or equivalent experience in nuclear, mechanical, or chemical
-
common scientific programming languages such as C++, Python, and/or Julia and version control systems. Experience in parallel programming with one or more common parallel programming models, like MPI
-
) to evaluate observing and assimilation strategies; support field experiments; and translate research results into operational path-planning applications. Research is expected to support U.S. Navy and other
-
of the position is to advance the theoretical and computational mechanics of soft solids under coupled physical environments. The position is situated within a sponsored research program on the finite-deformation
-
, experimental validation, and machine learning. A key feature of this position is the opportunity to collaborate with major U.S. and international fusion facilities (such as DIII-D, NSTX-U, KSTAR, WEST, and ITER
-
trajectory optimization, nonlinear programming, or genetic algorithms. High-performance computing (HPC), parallel numerical workflows, or GPU-accelerated model execution. Terms of Appointment This is a full
-
National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 25 days ago
Postdoctoral Program website for application instructions and requirements: How to Apply | NASA Postdoctoral Program (orau.org) A complete application to the NASA Postdoctoral Program includes: Research proposal
-
. Experience with heterogeneous and parallel computing technologies, programming models, or accelerators, including CPUs, GPUs, FPGAs, and emerging computing technologies. Familiarity with quantum software