60 evolution "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" "St" "St" "St" "St" Postdoctoral positions at Oak Ridge National Laboratory
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language and compiler ecosystems to accelerate scientific software development at scale. Major Duties/Responsibilities: Agentic AI for High‑Productivity Languages: Develop multi‑agent reasoning systems
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research and development needs within the MDF Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote
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Section, Nuclear Energy and Fuel Cycle Division at ORNL is seeking candidates to apply for the computational nuclear engineer role. This role is responsible for the development and implementation of methods
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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
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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
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through the High Flux Isotope Reactor, the Radiochemical Engineering Development Center, ORNL's other nuclear facilities, and an assemblage of world-leading scientists and engineers. Please visit https
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: 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
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) 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
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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
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process development strategies. Familiarity with sensors and data acquisition systems in manufacturing environments Strong record of peer-reviewed publications Excellent written and oral