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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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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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will be collaboratively shared with various scientists and engineers, including electron microscopists, ultrafast spectroscopists, device fabrication experts, and quantum information scientists
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hormone signaling pathways and stress responses Experience with greenhouse experiments Strong background in statistical analysis and data integration Experience with woody perennial plant systems Effective
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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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, and BET Experience synthesizing catalysts Familiarity with LabVIEW software for control and data acquisition Familiarity with catalyst modeling Excellent written and oral communication skills Ability
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on resilience, data analytics, protection, and EMT simulation research. As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year legacy of addressing the nation’s
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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