45 computer-science Postdoctoral positions at Oak Ridge National Laboratory in United States
Sort by
Refine Your Search
-
activities and to participate in program activities with funding dependent upon compliance with these requirements: Recipients are required to participate in the Actinide Science Lecture Series by both
-
skills to bear as you develop new methods to address scientific and engineering problems, collaborate with leaders in your field and across the laboratory, while working with the world’s fastest computers
-
impact the actinide field and if applicable how it will have an impact on the program funding this work. Basic Qualifications: To be eligible you must have completed a Ph.D. in chemistry, physics
-
data production at next-generation computational facilities enables scientific knowledge discovery but presents a challenge to move, store, and process the data. To maximize their science return
-
includes an emphasis on computation modeling. As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year legacy of addressing the nation’s most pressing
-
Requisition Id 14196 Overview: Oak Ridge National Laboratory is the largest US Department of Energy science and energy laboratory, conducting basic and applied research to deliver ground-breaking
-
degradation and lifetime assessment models for high temperature materials and coatings. As a postdoc, you will employ state-of-the-art technology, research equipment and computational resources to enable
-
Requisition Id 14862 Overview: Oak Ridge National Laboratory (ORNL) is the largest US Department of Energy science and energy laboratory, conducting basic and applied research to deliver solutions
-
highly collaborative position residing in the Quantum Heterostructures Group in the Materials Science and Technology Division (MSTD), Physical Sciences Directorate (PSD) at Oak Ridge National Laboratory
-
-task efforts in molecular biology, NMR, dynamic nuclear polarization (DNP) and macromolecular crystallography, and collaboration with computational scientists developing ML and AI tools for molecular