341 algorithm-development-"Newcastle-University"-"Newcastle-University" positions at NIST
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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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RAP opportunity at National Institute of Standards and Technology NIST Developing Novel Additive Manufacturing Processing Methods Location Material Measurement Laboratory, Materials Science and
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metabolomics. Our studies focus on developing new mass spectral data analysis algorithms (e.g., clustering) to better solve the common key persistent problems arising from factors such as mass shift and peak
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NIST only participates in the February and August reviews. The development of therapies and other products based on pluripotent stem cells requires control of the pluripotent and differentiated
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phases. This research will integrate a variety of modeling tools across multiple time and length scales to predict the microstructure evolution during the AM build process and post build thermal
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RAP opportunity at National Institute of Standards and Technology NIST Development of a Digital Twin Framework for Metal Additive Manufacturing Location Material Measurement Laboratory
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volume and quality that is consistent with the use of statistical methods; machine learning techniques for knowledge discovery; protein-protein interaction network analysis; novel algorithms for next
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been revisited in decades; our goal is to develop a suite of suitable statistical tools which allow clock scientists to properly analyze data with gaps. Additionally, we aim to provide comprehensive
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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
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RAP opportunity at National Institute of Standards and Technology NIST Analytical Methods Development for Metabolomics Location Material Measurement Laboratory, Biomolecular Measurement Division