60 evolution "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" "U.S" "Sciences Po" research jobs at Oak Ridge National Laboratory
Sort by
Refine Your Search
-
of advanced materials. Research efforts will include the application of density functional theory packages and in-house codes, and the development of supplemental numerical tools, to describe
-
: Development of new protocols to control coherent spin dynamics for optically accessible spin defects. Enable new spin-based quantum sensing protocols in low temperature and high field environments. Maintain and
-
) at Oak Ridge National Laboratory (ORNL) is seeking a Postdoctoral Research Associate to perform R&D in the areas of electromagnetic transient (EMT) simulation and software development as well as dynamic
-
(https://www.olcf.ornl.gov/frontier ) and plant phenotyping (https://www.ornl.gov/appl ). GPTgp is a pilot project initiated in September 2025 with funding from the US Department of Energy and will
-
process development strategies. Familiarity with sensors and data acquisition systems in manufacturing environments Strong record of peer-reviewed publications Excellent written and oral
-
the U.S. for three consecutive years, you are not eligible for the PIV credential and instead will need to obtain a favorable Local Site Specific Only (LSSO) risk determination to maintain employment. Once
-
funded by the U.S. Department of Energy (DOE) Office of Basic Energy Sciences (BES) in the Materials Sciences and Technology Division (MSTD). The successful candidate will be expected to work effectively
-
Requisition Id 16061 Overview: 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 challenges
-
model and observations, and uses that modeling capability to advance predictive understanding of complex environmental systems. ESD is an interdisciplinary research and development organization with
-
projects relevant to catalysis and critical materials. Contribute to methods development and integrate data science to accelerate simulations, analyze large datasets, and extract properties. Work in multi