10 solid-state-physics-"https:"-"U.S" Postdoctoral positions at Oak Ridge National Laboratory
Sort by
Refine Your Search
-
Requisition Id 15638 Overview: Oak Ridge National Laboratory is the largest US Department of Energy (DOE) science and energy laboratory, conducting basic and applied research to deliver
-
will involve designing beam dynamics experiments, measurement, simulation, and data analysis. This position resides in the Accelerator Physics Group in the Accelerator Science and Technology Section
-
Requisition Id 15764 Purpose The Glenn T. Seaborg Initiative (GTSI) of Oak Ridge National Laboratory (ORNL) is committed to enhancing and maintaining US capabilities in actinide science and
-
: Background in physical metallurgy of aluminum alloys. Background in solidification processing, high pressure die casting, additive manufacturing of alloys. Background in solid-state materials processing
-
Requisition Id 15813 Overview: We are seeking a highly motivated postdoctoral researcher with a strong background in sensor integration, data acquisition, and in situ process monitoring
-
Requisition Id 15537 Overview: We are seeking a Postdoctoral Research associate in computational nuclear physics. This position focuses on nuclear theory with an emphasis on nuclear structure and
-
Requisition Id 15315 Overview: We are seeking a Postdoctoral Research Associate who will support the Accelerator Physics Group in the Research Accelerator Division, Research Accelerator Division
-
maintaining or improving image quality. These advances will directly support operando studies of solid‑state batteries and porous electrodes and accelerate the development of predictive transport and
-
Director's office can be found here: https://www.ornl.gov/content/research-integrity . Basic Qualifications: A PhD in physics, chemistry, biochemistry or a related field completed within the last five years
-
postdoctoral research associate to advance the state of scientific AI by addressing cross-cutting challenges in data readiness for AI to enable scalable, reproducible AI workflows on leadership-class systems