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development, is highly desired. Potential projects could include the development and application of new methods for DNA methylation measurements, identification of cancer driver DNA methylations, and the use
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NIST only participates in the February and August reviews. Research on photovoltaics focuses on the development of new and improved device characterization methods for various cell technologies and
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-processing protocols. Additionally, reliable performance is critical and we are interested in developing (1) methods to prepare highly reproducible MEMS and NEMS device platforms, sensing materials
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processing of tables, extraction of property data from plots, analysis of paper content and extraction of metadata (substances, description of their samples, experimental methods, uncertainties, etc
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methods such as formal grammars, logic-based semantic representations, and knowledge graphs to improve the representation of knowledge, the evaluation of AI systems, and classification of documents and
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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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in biomanufacturing and personalized medicine. We are developing new electronics techniques that leverage the field effect, and optomechanical interferometric methods for the on-chip measurements
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of the semiconductor industry in the US. Numerous gases are used in the production of semiconductor chips, and the accurate metering of these gases into the process chamber is critical for maximizing device throughput
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requires expertise in Computer Science, Statistics, or a similar field. Experience with machine learning, genetics, and/or bio-informatics is strongly preferred. The postdoc will work together and within a
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Description This program is designed to support the design, construction, and operation of high-performance sustainable buildings with good indoor environments and low levels of energy consumption. This goals