407 parallel-computing "Institute of Computer Science" positions at Oak Ridge National Laboratory
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
another, work together, and measure success. Basic Qualifications: BS degree in computer science, engineering, data science, information systems, or a related technical or scientific field and 12 years of
-
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
-
infrastructure. Propose and implement improvements to existing systems and processes to support the evolving needs of the organization. Basic Qualifications: BS in computer science, engineering, or a related
-
focus on cluster management, parallel computing, and performance optimization. Demonstrated experience working in classified environments, including a thorough understanding of security policies
-
environment. Basic Qualifications: BS degree in computer science, engineering, or a related technical discipline and a minimum of eight years of relevant experience. An equivalent combination of
-
together, and measure success. Basic Qualifications: BS degree in computer science, engineering, or a related technical discipline and a minimum of eight years of relevant experience. An equivalent
-
intersection of applied mathematics, computational science, and high-performance computing. The successful candidate will help develop advanced scientific computing methods and deploy them on state-of-the-art
-
capabilities into a distinct center with its own mission of delivering leading-edge geospatial compute and data services, driving innovation at the intersection of computing and geospatial science, and
-
Qualifications: PhD. in computer science, computer engineering, electrical engineering, computational science, or a closely related field. 8 or more years of relevant research experience beyond the
-
with its own mission of delivering leading-edge geospatial compute and data services, driving innovation at the intersection of computing and geospatial science, and advancing research outcomes