2,635 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UNIV" "Univ" "UNIV" "Univ" positions at Duke University
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a supportive environment that values your well-being and growth. Learn more about Duke University’s competitive benefits package: https://hr.duke.edu/benefits/ Work requires knowledge of botany
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information only for at least three references to: https://academicjobsonline.org/ajo/jobs/31697 . Duke is an Equal Opportunity Employer committed to providing employment opportunity without regard
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data, and contributing to scholarly and practitioner-facing dissemination. The position emphasizes ethical, relationship-centered research practices and the translation of research into scalable, equity
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family-friendly and cultural programs to eligible team members. Learn more at: https://hr.duke.edu/benefits/ Equal Opportunity Employer: Duke is an Equal Opportunity Employer committed to providing
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cultural programs to eligible team members. Learn more at: https://hr.duke.edu/benefits/ Equal Opportunity Employer: Duke is an Equal Opportunity Employer committed to providing employment opportunity
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with universal, targeted, and high-impact initiatives. Assess and refine programs using de-identified data collection, analysis, and reporting. Ensure accurate documentation and compliance with relevant
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that integrates multi-source observational data (e.g., eddy covariance flux towers, satellite remote sensing, and atmospheric datasets) to investigate how SAI could influence ecosystem carbon fluxes and
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Employer committed to providing employment opportunity without regard to an individual's age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race
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analysis of spatial-omics and imaging data, developing a framework for simulations, simulating epidemics on social networks, building generative models to improve computation time for simulations, and other
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project by assisting with data processing, exploratory analysis, and implementation of Bayesian modeling workflows for flood depth–damage function calibration and evaluation. The position will contribute