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characterize unique sampling methods based on fundamental property data for drugs of abuse. Ultimately, we aim to have a field-deployable tool to reliably determine difficult to detect drug abuse. References
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will be complemented by computer model simulations using available capabilities based on methods such as density functional theory (DFT). [3] [1] J. Ilavsky, F. Zhang, R.N. Andrews, I. Kuzmenko, P.R
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powders and the final parts, a lack of understanding of the process physics and methods to control them, poor surface quality and part accuracy, and limitations in fabrication speed or throughput. We
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imaging experiments to assess cell response, and developing quantitative image analysis methods. References Sisan D.R., et al. (2012) Predicting rates of cell state change due to stochastic fluctuations
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assays; Liposomes; Measurement assurance; Medical; Method development; Nanomedicine; Nanotechnology; Pharmaceutical
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learning with machine-controlled measurement tools for closed loop experiment design, execution, and analysis, where experiment design is guided by active learning, Bayesian optimization, and similar methods
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on improving standoff methods for measuring the flux of carbon dioxide from smokestacks and distributed area sources (5 km x 5 km) by advancing the applications of integrated path differential absorption LIDAR
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NIST only participates in the February and August reviews. In situ characterization of advanced ceramic sintering processes The past decade has seen the development of several novel methods
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for prediction modeling. key words cell counting; cell viability; cell therapy; regenerative medicine; analytical methods Eligibility citizenship Open to U.S. citizens level Open to Postdoctoral applicants Stipend
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for neutron scattering, to study membrane-associated proteins. We are interested in chemistries for new measurement platforms; protein synthesis and diagnostics; simulation methods to compare to experimental