Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
the following requirements: Contribute to and progressively lead Artificial Intelligence (AI) & Machine Learning (ML) engineering support on an ongoing basis as evidenced by, for example, innovative artifacts
-
workplace – in how we treat one another, work together, and measure success. Basic Qualifications: AS degree in mechanical engineering technology or a related technical discipline and a minimum of 5-7 years
-
. This position resides in the Neutron & X-Ray Scattering, & Thermophysics group in the Materials Analysis and Interface Science Section, Materials Science and Technology Division, Physical Sciences Directorate
-
. This position is part of the Enrichment Science and Engineering Division and serves the nation by advancing enrichment technologies and providing enriched stable isotopes products. We lead the science and
-
the High Flux Isotope Reactor (HFIR), and several radiological and nuclear facilities throughout the ORNL campus containing shielded hot cells and gloveboxes. The Production Engineering role is essential
-
complete annual Notable Outcome deliverables. Lead by example, promoting ORNL's "Research Code of Conduct" and fostering a respectful workplace. Basic Qualifications: BS degree in a science or engineering
-
broad spectrum of scientific and engineering disciplines, enabling the Laboratory to explore fundamental science challenges and to carry out the research needed to accelerate the delivery of solutions
-
through the creation of sophisticated 3D CAD models and detailed design packages suitable for fabrication. This position resides in the Plasma Enrichment Deployment & Engineering Group in the Plasma
-
Qualifications: An M.S. in electrical engineering with a focus on power electronics applications for the grid Experience related to designing and controlling power electronic systems. Experience with power
-
seeking a Geospatial Data Engineer to support research and operational workflows focused on scalable geospatial data science, applied machine learning, and production-grade engineering practices to deliver