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RAP opportunity at National Institute of Standards and Technology NIST Machine Learning for Autonomous Genetic Engineering of Microbial Systems Location Material Measurement Laboratory
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RAP opportunity at National Institute of Standards and Technology NIST Leveraging Artificial Neural Networks for Enhancing GC and LC-MS Metabolomics Data Interpretation and Integration Location
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RAP opportunity at National Institute of Standards and Technology NIST Analytical Methods Development for the Determination of Anthropogenic Contaminants in the Marine Environment Location
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RAP opportunity at National Institute of Standards and Technology NIST Compressive Sensing Methods for Electron Microscopy and Microanalysis Location Material Measurement Laboratory, Materials
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RAP opportunity at National Institute of Standards and Technology NIST Autonomous MOF Synthesis for Direct Air Capture Sorbents Location Material Measurement Laboratory, Materials Measurement
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browsing capabilities. A small subset of project relevant publications is listed below. Requirements:A candidate should have at least a master’s degree in computer science or related fields (PhD is preferred
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-based and data-driven prediction models are often impractical for operational use due to unrealistic assumptions, limited data availability, and prohibitive computational costs. To address
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RAP opportunity at National Institute of Standards and Technology NIST Dimensional Metrology Location Physical Measurement Laboratory, Sensor Science Division opportunity location 50.68.51.C1080
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RAP opportunity at National Institute of Standards and Technology NIST Medical and Industrial Radiation Research Location Physical Measurement Laboratory, Radiation Physics Division opportunity
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RAP opportunity at National Institute of Standards and Technology NIST Algorithms for Compound Identification by Mass Spectrometry Location Material Measurement Laboratory, Biomolecular