93 Physics Postdoctoral research jobs at Oak Ridge National Laboratory in america in United States
-
effects in ceramic actinide compounds for nuclear fuel systems, property measurements, and simulations relevant to the development of nuclear fuel forms. Application Process and Eligibility Applications
-
Polymer Chemistry section, Chemical Sciences Division, Physical Sciences Directorate, at Oak Ridge National Laboratory (ORNL). As part of our team, the postdoc will synthesize novel dynamic polymers and
-
. This position resides in the Data NanoAnalytics (DNA) group in the Theory and Computation section, Center for Nanophase Materials Sciences, Physical Sciences Directorate, at Oak Ridge National Laboratory (ORNL
-
, and measure success. Basic Qualifications: A PhD in physics, engineering, or a related field completed within the last 5 years. Experience in programming using at least one of the following Python, C/C
-
and extensions are subject to performance and the availability of funding. Moving can be overwhelming and expensive. UT-Battelle offers a generous relocation package to ease the transition process
-
performance and the availability of funding. Moving can be overwhelming and expensive. UT-Battelle offers a generous relocation package to ease the transition process. Domestic and international relocation
-
treat one another, work together, and measure success. Basic Qualifications: PhD in physics, optics, electrical engineering, computer science, or a related field completed within the last 5 years
-
, condensed matter physics, and NFC engineering. The Postdoctoral Research Associate will apply their skills to the study of nuclear materials and their chemical and physical properties. Responsibilities also
-
batteries. This position resides in the Energy Storage Membrane Materials Group in the Chemical Sciences Division (X060), Physical Sciences Directorate (PSD) at Oak Ridge National Laboratory (ORNL) but will
-
candidate will support the analysis of energy-water interactions by using both process-based modeling and data science to provide multi-disciplinary solutions to energy challenges that have impacts from local