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analysis skills using Python, MATLAB, or similar platforms. Excellent written and oral communication skills. Motivated self-starter with the ability to work independently and to participate creatively in
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a variety of projects involving internal and external dosimetry and radiation risk analysis The CRPK provides technical assistance to U.S. federal agencies involved in development of federal guidance
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modeling, optimal power flow (OPF), surrogate modeling, and data-driven analysis of large-scale electric power system simulations on DOE leadership-class computing resources. The candidate is expected
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Quantum computing. Collaborate with interdisciplinary research teams to integrate AI/ML capabilities into scientific simulation, data analysis, and computational workflows. Contribute to the development and
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, mechanical testing (creep, fatigue, tensile properties), microstructural analysis, thermal/electrical properties will be desirable. The position will involve significant interaction with a large team within
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. This position resides in the Neutron & X-Ray Scattering, & Thermophysics group in the Materials Analysis and Interface Science Section, Materials Science and Technology Division, Physical Sciences Directorate
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: Experience applying machine learning methods for predictive analysis. Expereince with the Python programming language. Experience with the creation, validation, and use of synthetic data for constructing
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in the areas of Hydrological and Earth System Modeling and Artificial Intelligence (AI). The successful candidate will have a strong background in computational science, data analysis, and process
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, additive manufacturing, solid-state processing (rolling, extrusion, wiredrawing etc.), mechanical properties (creep, fatigue, tensile properties), microstructural analysis, thermal/electrical properties will
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qubit engineering to quantum algorithmic analysis to applications across the physical sciences (condensed-matter or high energy physics, data science). You will Interpret, report, and present research