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Engineer will conduct R&D in nuclear nonproliferation with expertise in computational nuclear reactor physics through modeling and simulation (M&S). The candidate will perform analysis and methods
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Division (MSTD) at Oak Ridge National Laboratory (ORNL), and who will focus on ORNL's continued development of methods to quantify shear (yield) strength of monolithic ceramic materials as a function of
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Particle Control (PEPC) group of the Fusion Energy Division at Oak Ridge National Laboratory. The PEPC group performs experimental and modeling work, focused on the boundary region of tokamaks, stellarators
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research and development in the areas of gauge field generation, linear and eigen-solvers, or novel analysis methods. This position will reside in the Advanced Computing for Nuclear, Particle and
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(NSSD). In this role, you will conduct fundamental research into the integration of Bayesian methodologies with system dynamics modeling, advancing statistical methods and the open-source scientific
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data and develop data-driven methods for predicting land loss and ecosystem transitions in wetland-rich landscapes of the Gulf Coast with a focus on coastal Louisiana. This candidate will directly
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resides in the Neutrino Research Group in the Fundemental Nuclear & Particle Physics Section, Physics Division, Physical Sciences Directorate at Oak Ridge National Laboratory (ORNL). As part of our
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workflows; document methods, prepare peer-reviewed publications and project reports, and present research results. Conduct experiments in accordance with ORNL laboratory and laser-safety procedures. Deliver
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, qualification, and deployment of AI agents and models, Computational Fluid Dynamics (CFD) simulation codes, and Finite Element Method (FEM) based tools for nuclear energy (fission and fusion) applications
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spectroscopy. Experience designing custom experimental hardware, vacuum systems, and plasma diagnostics. Experience applying machine learning methods for predictive analysis. Expereince with the Python