-
broad knowledge of ORNL requirements and processes related to ES&H, Production, Quality Assurance, procurement/contracts, construction/maintenance, and Security. Experience with supply chain management
-
of interest include structure-preserving finite element methods, advanced solver strategies, multi-fluid systems, surrogate modeling, machine learning, and uncertainty quantification. The position comes with a
-
topics of interest include high-dimensional approximation, closure models, machine learning models, hybrid methods, structure preserving methods, and iterative solvers. Successful applications will work
-
states, magnetic phase transitions, and corresponding structural responses at high magnetic fields, using high flux neutron scattering techniques. Additionally, collaborative work will be performed with
-
research, each year carrying out more than 1,000 experiments in the physical, chemical, materials, biological and medical sciences. To learn more about Neutron Sciences at ORNL, please go to this link: http