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certification of AM components. This NRC postdoctoral research opportunity builds on ongoing efforts at the Materials Measurement Science Division of the National Institute of Standards and Technology. The
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://jarvis.nist.gov/) infrastructure uses a variety of methods such as density functional theory, graph neural networks, computer vision, classical force field, and natural language processing. We are currently
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RAP opportunity at National Institute of Standards and Technology NIST Broadband Electromagnetic Characterization of Thin-Film Electronic Materials and Devices Location Communications Technology
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-computer interactions such as curation and information retrieval. key words Ontologies; Natural Language Processing; Machine Learning; Artificial Intelligence Eligibility Citizenship: Open to U.S. citizens
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RAP opportunity at National Institute of Standards and Technology NIST Digital Twin of Breath Devices for Forensics and Health Metrology Location Material Measurement Laboratory, Applied
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RAP opportunity at National Institute of Standards and Technology NIST Multimodal Microbiome Measurements Location Material Measurement Laboratory, Chemical Sciences Division opportunity
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RAP opportunity at National Institute of Standards and Technology NIST Materials Discovery Using Synchrotron Radiation, Machine Learning, and Artifical Intelligence Location Material Measurement
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RAP opportunity at National Institute of Standards and Technology NIST Microfluidics for Characterization of Complex Fluids Location Material Measurement Laboratory, Materials Science and
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classification of scientific publications by their relevancy have been done at TRC. A successful applicant is expected to have a strong background in computer sciences, particularly in AI, NLP, and ML. No specific
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characterization, microstructural analysis, modeling, and/or data science to reach out and apply, as a variety of perspectives will be invaluable in advancing our understanding of material behavior and design. We