397 parallel-computing-numerical-methods "Institute of Computer Science" positions at Oak Ridge National Laboratory
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
, the first supercomputer to break the exascale barrier and Orion, a 700 petabytes Lustre parallel file system. As an important part of the broader High-Performance Computing (HPC) infrastructure, the
-
modeling, including numerical analysis, finite element methods, and software engineering Experience in software development in the C++ and Python languages The ability to work flexible hours and travel
-
HPC storage infrastructure. Basic Qualifications: BS degree in Computer Science, Information Technology, Engineering, or a closely related field and a minimum of eight years of relevant systems
-
selected candidate will join the Multiscale Materials (MsM) group within the Advanced Computing Methods for Physical Sciences Section in CSED. The MsM group is dedicated to delivering multiscale, multi
-
Quantum Sensing and Computing Group in the Computational Science and Engineering Division (CSED), Computing and Computational Sciences Directorate (CCSD), at Oak Ridge National Laboratory (ORNL). Major
-
Requisition Id 16174 Level: RP03 Overview: As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year legacy of addressing the nation’s most pressing
-
Requirements: Current TS clearance with SCI eligibility BS degree in Information Technology or technical equivalent and a minimum of 12 years of experience in high performance computing or related
-
follow ORNL cybersecurity policies and guidelines. Basic Qualifications: Ph.D. in Quantum computing, Computer Science, Computer Engineering, Electrical Engineering, Applied Mathematics, or a closely
-
Materials (MsM) group of the Advanced Computing Methods for Physical Sciences Section in CSED. The MsM group is focused on delivering multiscale, multi-fidelity computational models and systems using
-
mathematics, computer science, physics, engineering, operations research, or a related quantitative discipline. Demonstrated experience applying Bayesian methods to scientific or engineering problems