Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: MS in electrical, computer engineering, or related
-
to meet the growing demand for radioisotopes. ORNL is the largest multi-program science and energy laboratory in the Department of Energy system. This role directly supports mission-critical nuclear
-
deliverables). Provide support to the division director for various policies and initiatives, including significant HPI/HOP program engagement and integration. Serve as the SOSD champion for AI adoption and
-
Requisition Id 16005 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 a
-
, and maintain computational workflows that enable reproducible, scalable science on leadership-class systems. You will collaborate with researchers across diverse domains to translate scientific
-
technologies techniques will be used to support and deepen domain insight, guide experiments, and accelerate scale-up. The role emphasizes tight coupling between materials science, chemistry, and manufacturing
-
Requisition Id 16004 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 a
-
Systems Research Section/Workflow Systems Group within the Computer Science and Mathematics Division at Oak Ridge National Laboratory (ORNL) is seeking a postdoctoral researcher with expertise in data
-
Requisition Id 16041 Overview: Oak Ridge National Laboratory (ORNL) invites applications for a senior scientist position to advance collaborative research and technology development in materials
-
the fundamental engineering understanding of gas centrifuge systems. The group leverages analytical techniques and advanced computational tools—including finite element analysis (FEA)—to evaluate and predict