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, 2016 , and Microphysiol Syst. 2020 Jun; 4: 10.21037/mps-19-8 ) that will make toxic metabolite detection more sensitive. Recent work includes a new, pumpless liver/heart system. NRC postdocs can propose
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. The postdoc will develop machine learning algorithms to analyze phenotype and sequence data, as well as active learning algorithms to optimize and control experiments in directed evolution. This position
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This project studies chiral assembly of chromophores at nanoscale by using chirality-defined single-wall carbon nanotubes (SWCNTs) as templates. New findings at NIST have established a general strategy to
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are interested in postdoc candidates with prior experience in any of the following areas: ceramic processing, nano-particle synthesis, colloidal chemistry (i.e., rheological testing, zeta-potential), advanced
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for fabricating near-net-shape metallic parts and generating microstructures that are infeasible with conventional metallurgy. However, the degree of commercial adoption of AM parts is impeded by
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nanocomposites containing these networks. Our objective is to develop metrologies to understand how morphology and functionalization affect the alternating current (AC) conductivity of composite materials
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technologies for microbial cells and mixtures. NIST is currently developing highly defined, single strain microbial cell materials and measuring them using a suite of cell enumeration and characterization
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the development towards this end of efficient, highly parallel software running on commodity hardware. Novel methods to compute the stray field from magnetized material with attention to interface and
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phone Meghan Catherine Burke Harris [email protected] 301 975 5631 Description This project aims to leverage sample preparation methods, state-of-the-art instrumentation, and custom software
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, M. Lueker-Boden, T. S. Santos, P. M. Braganca, M. D. Stiles, J. J. McClelland, and B. D. Hoskins, Measurement-driven neural-network training for integrated magnetic tunnel junction arrays, Phys. Rev