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on ab initio data to accurately model the thermodynamic and thermophysical properties of complex materials. Conduct molecular simulations to elucidate the thermodynamic and structural basis of enhanced
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visual representation and analysis of large-scale 2D/3D scientific data. This position resides in the Data Visualization Group in the Data and AI Systems Section, Computer Science and Mathematics Division
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will involve designing beam dynamics experiments, measurement, simulation, and data analysis. This position resides in the Accelerator Physics Group in the Accelerator Science and Technology Section
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training algorithms and AI architecture. Image reconstruction, segmentation, and classification. High performance computing for spatiotemporal data. Major Duties/Responsibilities: Develop foundation AI
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, transportation, and more, with a special emphasis on grid resilience assessments and equity analysis. You will have the opportunity to creatively use interdisciplinary methods from computational data science
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salt breeders) is a plus. Experience in the analysis of heat transfer systems. Working knowledge of computer languages such as C++, FORTRAN, or Python. Experience with computer aided design (CAD
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, optical or electrical engineering, or a related discipline. Expertise in optical fiber communications and sensing. Proficiency in Python, C/C++, or other language for data analysis or instrumentation
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maturation, characterizing performance and properties of nuclear fuels and materials, and generate the data to advance physical modeling and simulation. The primary function of this open position is to perform
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objectives. Basic Qualifications: A Ph.D. in materials science, physics, chemistry, nuclear engineering, or related disciplines. Preferred Qualifications: Experience with ellipsometry Experience with data
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magnetism or superconductivity. Experience operating and maintaining Quantum Design instruments. Proficiency with x-ray diffraction measurements and data analysis. Familiarity with the health and safety