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temperature and velocity data to provide a complete picture of the physics and chemical structure of the environment within the fire enclosure. Measurements will be completed for a variety of fuel types and
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pathogenicity is critical insight that will help drive the success of real-world antimicrobial technologies. General approaches may include advanced imaging modalities, high-throughput technologies, standards
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simultaneous measurements on individual particles making use of lab-on-a-chip technology. Techniques include microsecond flash photography (including fluorescence), image analysis, and electrical signals
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work is anticipated in the areas of microresonator design, engineering biology/biomanufacturing, dioxygen imaging in 3D cell culture, and structural biology methods development. Knowledge of microwave
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) to develop new imaging and metrological capabilities for studying nanoscale electronic properties. In particular, we are interested in combining time-resolved optical techniques with our microwave methods
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measurements that can act as a beam profiler. Keywords atom-based measurements; laser metrology; laser intensity imaging; SI-traceable Eligibility citizenship Open to U.S. citizens level Open to Postdoctoral
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operating frequencies above 100 GHz are used in a wide variety of applications—examples include radio astronomy, climate monitoring, mm-wave imaging, and high-speed wireless data relays. The main method
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confirmation of conventional fire measurements and better assessments of measurement uncertainty. Techniques such as particle image velocimetry (PIV) have been successfully demonstrated in large-scale enclosure
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-projects/nanoscale-imaging-and-spectroscopy-ir-nir-vis-beyond-diffraction-limit ) and/or applying PTR on specific materials or nano systems with efforts balanced based on candidate interests and expertise
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diffraction, x-ray absorption spectroscopy for the quantification of chemical short range order, and automated microstructural image analysis. The simulation approaches of interest include machine learning