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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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colleagues that are very strong in AI and computational modelling of energy materials, and we are building labs for autonomous materials development. Large facilities, such as synchrotron and neutron
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, focusing on AI- based quantitative imaging of human hemodynamics, as well as neural network models of nonlinear ultrasound for imaging and quantitative tissue property estimation. The outcome of
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, focusing on AI- based quantitative imaging of human hemodynamics, as well as neural network models of nonlinear ultrasound for imaging and quantitative tissue property estimation. The outcome of
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materials, devices, and manufacturing. More than 1 year of experience working in a business development role at a company with a focus on software, AI, semiconductor, large language model or machine-learning
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microenvironment, and other biological processes. Conduct preclinical studies using in vivo disease models (cancer, inflammation, organ injury, etc.) and new alternative methodologies (advanced biological models
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, and RNA processing/splicing, as well as the development of enhancer activity lineage-tracing approaches in stem cell and/or mouse models. We are particularly interested in candidates with expertise in
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 12 days ago
maintain detailed documentation of the methodologies and sequence constructs used in the generation of these models. Contribute to the preparation of publications describing these mouse lines, including
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of internationally visible, foundational research in AI-driven semantic structure extraction, automated reasoning-flow modeling, and adaptive content generation. The research focuses on methods for analyzing and
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discussions that drive the lab’s work. We also see postdocs as important mentors and role models for graduate students in the Krishnan lab, helping elevate the scientific thinking and rigor of the group