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, longitudinal data analysis, and/or categorical analysis (e.g., growth mixture modeling) using R, Mplus, and/or SAS. Preferred Qualifications: Experience with analyzing multi-wave longitudinal and intensive
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), clear research interests in agricultural sustainability, experience coding and manipulating large geo-spatial datasets in R including Google Earth Engine. The Cornell SC Johnson College of Business
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behavior, production economics, industrial organization, or marketing. Fluency in econometric software (e.g., R, Stata, MATLAB, or Python) is strongly preferred. This is a one-year full-time appointment with
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R * Excellent technical, analytical, organizational, and problem-solving skills * Strong attention to detail and meticulous work style, evidenced by previous research * Interpersonal and communication
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R ● Excellent technical, analytical, organizational, and problem-solving skills ● Strong attention to detail and meticulous work style, evidenced by previous research ● Interpersonal and communication
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behavior, production economics, industrial organization, or marketing. Fluency in econometric software (e.g., R, Stata, MATLAB, or Python) is strongly preferred. This is a one-year full-time appointment with
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), clear research interests in agricultural sustainability, experience coding and manipulating large geo-spatial datasets in R including Google Earth Engine. The Cornell SC Johnson College of Business
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R ● Excellent technical, analytical, organizational, and problem-solving skills ● Strong attention to detail and meticulous work style, evidenced by previous research ● Interpersonal and communication
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behavior, production economics, industrial organization, or marketing. Fluency in econometric software (e.g., R, Stata, MATLAB, or Python) is strongly preferred. This is a one-year full-time appointment with
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proficiency in statistical estimation and simulation modeling and use of R. Previous experience with population estimation using (spatial) capture-recapture models. Demonstrated desire and proven ability