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assays are generally time consuming, complex and non-standardized. There exists a critical need to develop in vitro assays that are robust and reproducible. This research opportunity entails the design
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these challenges. We seek applicants for a postdoctoral fellowship to lead a research project exploring the use of on-line PTR-MS in field applications relevant to forensic science. Two potential project areas
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and this is a critical research gap that has been recognized by the International Society for Extracellular Vesicles. Recently, it has been recognized that non-traditional EV heterogeneity (e.g., in
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Research Division opportunity location 50.67.26.C1106 Boulder, CO 80305 NIST only participates in the February and August reviews. Advisers name email phone Kevin Cossel [email protected] 720.597.0592
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research systems, designed with the goal of accelerating the discovery and optimization of advanced materials. These systems combine machine learning with machine-controlled materials synthesis and
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NIST only participates in the February and August reviews. We are developing machine learning algorithms to accelerate the discovery and optimization of advanced materials. These new algorithms form
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Advanced Electronics group of Physical Measurements Laboratory recently initiated research in the field of WBG. In particular, in our lab, we have dedicated instrumentation to fabricate and characterize
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; signal averaging can be used to optimize signal-to-noise ratios; a wide range of molecular masses is accessible; and the sample can be gas, liquid, or solid. Despite these advantages, the use of NMR