Sort by
Refine Your Search
-
device operation. The project involves large-scale simulations on exascale computing resources to probe switching behavior while accounting for effects of defects, competing metastable phases, doping
-
, synthesize, and process information to develop high-quality datasets and derive empirically driven results; work with other team members to develop and apply cutting-edge methodologies to address critical
-
HEP-CCE (Center for Computational Excellence) Storage Optimization. The HEP Division performs cutting-edge research facilitated through advanced detector development, high-performance supercomputing
-
modeling tools to advance the discovery of new materials. Argonne National Laboratory is a multi-disciplinary research institution offering world-class opportunities in High-Performance Computing and housing
-
. Knowledge of C/C++ language and parallel programming with MPI. Background in modeling of engineering systems. Familiarity with high performance computing (HPC) software platforms is a plus. Skills in using
-
environment where all can thrive. Preferred Qualifications: Familiarity with high performance computing (HPC) software platforms. Ability to develop, optimize, test and run large-scale parallel applications
-
relevant numerical methods to dramatically reduce time to a feasible solution, parallelization of computations/high-performance computing, and other emerging and novel techniques to improve the efficiency
-
knowledge of advances in modeling, simulation, machine learning, and data analysis. Employment of these models on high performance computers and cloud-based infrastructures. Design, develop, and deploy novel
-
reduction approaches and systems will be developed and implemented that operate close to instruments at the edge, and that leverage high-performance computing environments when needed. This position will be