Sort by
Refine Your Search
-
Requisition Id 16606 Overview: Oak Ridge National Laboratory (ORNL) is the U.S. Department of Energy’s largest multi-program science and energy research facility. As a world-class innovation hub
-
Requisition Id 16607 Overview: Oak Ridge National Laboratory (ORNL) is the U.S. Department of Energy’s largest multi-program science and energy research facility. As a world-class innovation hub
-
of irradiated ceramics and alloys for tritium technology development using advanced experimental and computational methods. The researcher will perform characterization of model systems using techniques such as
-
specialists in organic and inorganic synthesis, coordination chemistry, thermodynamics, laser spectroscopy, materials characterization, chemical separations, computational chemistry, and nuclear chemistry. Our
-
Requisition Id 16798 Overview: The Data and AI Systems Research Section/Workflow systems Group within the Computer Science and Mathematics Division at Oak Ridge National Laboratory (ORNL) is
-
Stratospheric Ozone Protection program in accordance with local guidance, as well as federal regulations including 40 CFR Part 82 and 40 CFR Part 84. Work closely with ORNL EPSD to ensure owners and maintenance
-
, considering hazards for every task, and never stop learning. Additional tasks as assigned by management. Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact
-
, statistical methods, and computational tools. Contribute to externally sponsored research proposals, technical reports, peer-reviewed publications, invention disclosures, conference presentations, and sponsor
-
plan. Provide input into the development of program sustainability. Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety
-
a focus on multimodal learning, computer vision, and scientific machine learning Develop novel algorithms and architectures for tasks such as multimodal retrieval, reasoning over complex data, and