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stressed electrical grid. Modern integrated building automation and control systems create an environment rich with sensor data and distributed control intelligence that can be applied to solve
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testing novel MOF materials for applications in carbon capture (https://doi.org/10.1016/j.xcrp.2022.101063). Successful candidates must have a background in MOF synthesis and characterization. Special
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) Vulnerability Systems [2] that utilize FM-enabled capabilities to identify bugs and faults in software and hardware. Automated analysis via formal methods requires formal definitions of the weakness and
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NIST only participates in the February and August reviews. There is a growing need for high-performance materials for various technological applications. To address this need, the NIST-JARVIS (https
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mostly at NIST’s Beamline for Materials Measurements with the intent of develpoing methods to leverage machine learning and artifical intelligence tools to enhance and automate beamline operations. Some
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. Opportunities are available in instrument development and automation, astronomical and atmospheric data analysis. Participation in more than one project is possible. Our Current Projects: NIST Stars: Motivated by