325 computational-physics "https:" "https:" "https:" "https:" "Caltech" positions at Oak Ridge National Laboratory in United States
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
Requisition Id 15517 Overview: The National Center for Computational Sciences (NCCS) at Oak Ridge National Lab (ORNL), which hosts several of the world’s most powerful computer systems, is seeking
-
media visits and events. Serve as the ORNL’s primary contact for the DOE Office of Science clearance process and represent ORNL in DOE meetings related to communications activities across the national
-
) testing designated position. WSAP positions require passing a pre-placement drug test and participation in an ongoing random drug testing program. About ORNL As a U.S. Department of Energy (DOE) Office of
-
and hydraulic models to assess water availability, river behavior, and watershed dynamics, and to anticipate changes in water quantity and quality. Using high-performance computing and large-scale
-
such, this position is a Workplace Substance Abuse (WSAP) testing designated position. WSAP positions require passing a pre-placement drug test and participation in an ongoing random drug testing program
-
workplace – in how we treat one another, work together, and measure success. Basic Qualifications: BS in Computer Science, Information Technology, or a related field; or equivalent experience in lieu of a
-
maintenance management systems. Ability to follow written and oral instructions. Ability to obtain and maintain a Mobile Equipment Operator certification. Special Requirements: Physical Requirements: Work
-
, and assisting with conflict resolution efforts under HR leadership guidance. HR Systems & Process Support: Support ongoing enhancements to HR systems, workflows, and internal policies. Utilize Microsoft
-
, sponsor) guidelines. Adhere to DOE publishing requirements. Ensure compliance with environment, safety, health, and quality program requirements. Maintain a strong commitment to the implementation and
-
to support large scale self-supervising learning for large vision-language models. Collect, process, and analyze large volumes of high-resolution satellite imagery. Support the design and implementation