Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
instrumentation for real-time or near-real-time measurements in complex chemical, isotope-production, and nuclear-relevant processing environments. This position will support program needs in radionuclide
-
for structured and unstructured data Familiarity with high-performance computing, cloud environments, or distributed data systems Familiarity with uncertainty quantification methods in AI/ML Ability to present
-
for the Spectroscopy Section, including instrument capabilities and user program strategy. Partner with the Division Director and section Group Leaders to establish priorities, allocate resources, and drive scientific
-
them sent to [email protected] (For postdocs, use [email protected] ) with the position title and number referenced in the subject line. Instructions to upload documents to your
-
candidate will bring a strong foundation in systems architecture, a working knowledge of cluster computing and scaling, and a passion for advancing the security of AI systems under real-world and simulated
-
develop appropriate models and computational strategies to assess HFIR Isotope Production target design. Contribute to the design of radioisotope production targets to optimize coolant flow and thermal
-
, work together, and measure success. Basic Qualifications: A PhD in Materials Science & Engineering, Computational Sciences, Physics, or a related field completed within the last 5 years Demonstrated
-
sure to ask your Recruiter (Talent Acquisition Partner) for details. For more information about our benefits, working here, and living here, visit the “About” tab at https://jobs.ornl.gov . About the
-
at scientific edge systems using large-scale HPC/AI computational and storage systems. Design and evaluation of ephemeral, user-configurable, and composable data and storage systems. Evaluation of cloud data
-
candidate will be expected to commit to ORNL’s Research Code of Conduct. The full code of conduct and a statement by the Lab Director’s office can be found here: https://www.ornl.gov/content/research