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Field
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digital twin capability for complex urban and infrastructure and urban systems. Working under the supervision of Professor David Levinson , the successful candidate will contribute to the development
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of project strategy, and analysis and communication of complex data Manage internal and external resources to deliver quality data in an efficient manner Maintain a broad awareness of the scientific and
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oral communication skills Strong leadership skills and potential to mentor graduate and undergraduate students Experience with management and analysis of complex datasets, including experience with SAS
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hematologic malignancies, using both human samples and animal models. Applies high-dimensional data analysis techniques, including single-cell RNA sequencing (scRNA-seq), multicolor flow cytometry, and systems
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digital twin capability for complex urban and infrastructure and urban systems. Working under the supervision of Professor David Levinson , the successful candidate will contribute to the development
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National Aeronautics and Space Administration (NASA) | Hampton, Virginia | United States | 14 days ago
Network (TOLNet). The selectee will research innovative analysis methods for synthesizing complex datasets, identifying sources of bias in remote sensing measurements, and contributing to the scientific
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initial problem specification, data gathering and analysis, model creation, and implementation Strong understanding of artificial intelligence applications and methodologies, such as working knowledge
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, designs and executes experiments of considerable scope and complexity in the assigned research lab; collects and analyzes data for research sponsored by appropriate agencies and Institutions; identifies and
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, stable isotope probing, functional gene analysis, metagenomics, bioinformatics, and the integration of microbial chemical and environmental datasets. The candidate will contribute to establishing a SIP
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, behavioral tasks, surveys and clinical interview data to better understand the complex risk factors driving high levels of use. The candidate must have a strong background in computational methods and/or