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outcomes research and real-world data analytics, with a strong publication record. Proficiency in advanced data analytics, machine learning, and statistical modeling. Job Description: The Department
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approach, combining machine-learning–enhanced text-as-data analysis with qualitative discourse analysis. The project aims to produce a set of high-quality scholarly outputs, including peer-reviewed journal
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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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/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
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etc; Candidates with multidisciplinary backgrounds are welcome. · Strong skills in computational and data analytical methodology development and implementation; experience in machine learning and deep