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pluripotent stem cell lines from the same individuals, could serve as reference samples for other ‘omics technologies as well. For example, this postdoc could take advantage of the extensive single molecule
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images. However, the current limitations of desktop computers in terms of memory, disk storage and computational power, and the lack of image processing algorithms for advanced parallel and distributed
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-acquisition circuitry, and signal-processing/pattern-recognition algorithms. The sensors must be tailored for the particular nature of a given chemical or biochemical measurement problem by optimizing and
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, which can be leveraged to monitor nanomaterial size distributions and corresponding chemical compositions during controlled transformations in complex media. Reference Pettibone JM, et al: ACS Nano 7
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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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chromatography/mass spectrometry (LC-MS) measurements using principal component analysis, partial least squares, genetic algorithms, and other multivariate statistics. Current projects have accumulated a
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extensive measurement capabilities, CMOS circuit design work for foundry tape-out, and theoretical work developing new algorithms and architectures that leverage the low-energy, high-speed properties
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in a neutron beam environment, and develop image reconstruction techniques to obtain spatial distribution of the elemental composition based on spectral analysis of the emitted radiation. Much
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algorithms for enhanced sampling is essential to bridge length or time scales over many orders of magnitude. Comparison of our simulations with the experimental results of others [e.g., small-angle scattering
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, this project will employ emerging proteomics techniques (such as data-independent acquisition) and will be working alongside software and algorithm developers to ensure that these platforms can be used beyond