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solutions in digital agriculture. Working closely with the Data Center Director and interdisciplinary teams, the Specialist will help manage infrastructure, develop analytics workflows, ensure data quality
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of infection using metagenomics, advanced statistical models, and analytical biochemistry. One position to work on an NIH-funded project is available. The project is focused on determining the impact of
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analytics; Experience in integrating multi-source remote sensing data with process-based or data-driven models to characterize agricultural and ecological systems; Experience in applying advanced Artificial
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collaboration skills. Effective analytical and problem-solving abilities. Ability to manage multiple projects and meet deadlines. Proficiency in research methodologies and data analysis. Ability to work
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/trait data) Conducting statistical modeling, feature selection, and predictive analytics for forest health, resilience, and biomass estimation Supporting data preprocessing, cleaning, normalization, and
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Posting Details Position Information Posting Number F001406P Internal Posting? Recruitment Title Research Assistant Professor - Wildland Fire Education Advertising Pay Range Commensurate with
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Posting Details Position Information Posting Number F001405P Internal Posting? Recruitment Title Research Assistant Professor - Wildland Fire Education & Leadership Advertising Pay Range
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Memorial Sloan-Kettering Cancer Center | New York City, New York | United States | about 2 months ago
of bioanalytical assays of RNA and LNP's for preclinical assessment in vivo and in vitro , focusing on T-cell responses, as well as GMP analytical release aligned with regulatory guidance and requirements Assays
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Position Information Position Information Working Title Research Assistant Professor Department Rural Drug Addiction Research Center-10950 Requisition Number F_260002 Posting Open Date 01/30/2026
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an interdisciplinary research team; Excellent publication records; Experience in large-scale earth observation analytics; Experience in integrating multi-source remote sensing data with process-based or data-driven