41 parallel-computing-"PRINCETON-UNIVERSITY" Postdoctoral positions at Oak Ridge National Laboratory
Sort by
Refine Your Search
-
presentations. The Learning Systems Group at Oak Ridge National Laboratory advances the next generation of artificial intelligence by co-designing algorithms and computing systems to address
-
Requisition Id 17145 Overview: We are seeking a Postdoctoral Research Associate who will focus on experimental research in photonic quantum sensing and computing. This position resides in the
-
parallel codes. Experience with using high performance computing for lattice model simulations. Experience working in a multi-disciplinary research environment. Demonstrated written and oral
-
Confidential Computing and Secure Multi-tenancy. The candidate will be able to make research contributions in areas of system software architectures to support secure computing enclaves on large scale
-
commercial CFD codes such as STAR-CCM+, ANSYS or COMSOL. Knowledge of finite element simulations methods. Experience using parallel Linux computing platforms, parallel job submission scripts, common
-
massively parallel computing systems, including GPU-accelerated platforms. Develop and maintain scientific software, primarily in Python , using modern practices for software development, testing
-
Sciences (NCCS), Computing and Computational Sciences Directorate (CCSD) at Oak Ridge National Laboratory (ORNL) to perform leading-edge computational materials research and development. The scientific
-
management, intermediate representations, or execution orchestration for quantum or heterogeneous computing platforms. Experience with heterogeneous and parallel computing technologies, programming
-
on high-performance computing (HPC) environments using distributed data or model parallel training. Experience with multi-physics simulations on HPC and with ML models. Experience working in a multi
-
systems techniques. Proficiency in programming languages such as Python, C++, or similar, as well as experience with HPC environments and parallel computing. Demonstrated hands-on experience and