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, navigation, and timing (PNT) technologies. Our goal is to develop end-to-end capabilities in this area, including system-level design and modeling, cleanroom fabrication, and optical characterization
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-driven materials design" https://www.nature.com/articles/s41524-020-00440-1 2. https://jarvis.nist.gov/ 3. https://www.nist.gov/people/kamal-choudhary Machine learning; Density functional theory; force
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planning practices for resilience, sustainability, and climate adaptation and their implications for resilience design practices. See https://www.nist.gov/programs-projects/design-methods-resilient-community
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experimental research experience, design of mechanical parts and assemblies (SolidWorks experience is preferable), experience with developing VI’s in LabVIEW, and experience with image processing (MATLAB
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MnPSe3" https://www.science.org/doi/10.1126/sciadv.abj3106 3) "Recent progress in the JARVIS infrastructure for next-generation data-driven materials design" https://pubs.aip.org/aip/apr/article/10/4
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. An understanding of statistical analysis is important for processing the time series results of individual calculations as well as comparing multiple calculations. Experience with coding, web design and database
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characterization (ultrasound, x-ray scattering, IR imaging), and experimental equipment design (CAD, controls (i.e., LabView, Python, Arduino, G-code), image/video processing (i.e., ImageJ). [1] A
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bending fatigue in additively manufactured SS316 dogbones,” Materials and Design, 140 (2018) 420–430 https://doi.org/10.1016/j.matdes.2017.12.001 (2) D. A. Pushin et al, “Far-field interference of a neutron
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, and micro-pulse LIDAR. CANDLE (Calibration using an Artificial Star with NIST-traceable Distribution of Luminous Energy) is a NASA-funded project to design, build, and test a precision SI-traceable
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are designed, constructed and operated to provide optimal spaces for living and working. The industry needs tools, metrics, and processes to create buildings that are more than just static structures but living