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, liquid, and gas samples Familiarity with MC-ICP-MS, TIMS, or similar instrumentation and troubleshooting methodologies Experience in an ISO17025 accredited laboratory setting and performing data analysis
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technologies Proficiency in using Excel, Python, R or similar tools for engineering data analysis is preferrable Excellent written and oral communication skills Motivated self-starter with the ability to work
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and analytics at scale to enable scientific discovery across the physical sciences, engineered systems, and biomedicine and health. It provides foundations and advances in quantum information sciences
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recovery. Perform and/or direct characterization of products of these dry head-end processing and subsequent separations, including identifying information gaps in support of flowsheet development. Implement
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Requisition Id 14907 Overview: The Data and AI Systems Research Section/Workflow systems Group within the Computer Science and Mathematics Division at Oak Ridge National Laboratory (ORNL) is
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/Responsibilities: Collect and analyze data from past weather-related natural gas supply disruptions and study their impacts. Perform modeling and simulations to assess system performance under cold stress conditions
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record of productive and creative research demonstrated by publications in peer-reviewed journals and presentations at major conferences. Familiarity with numerical data analysis and customization
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of correlated and topological materials. Work in thin film synthesis and physical property characterizations. Experience in user facilities. Complete data analysis of structural, electronic, magnetic, and
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, materials science, physics, chemistry, chemical engineering, or related disciplines. Preferred Qualifications: Experience with nuclear fuel or materials. Experience with XCT imaging. Experience with 3D data
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emerging at the grid edge, providing essential services crucial to its reliable operation. Employing a diverse range of disciplines such as control theory, optimization, economics, game theory, data