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the agrivoltaics systems. This Postdoctoral Associate will be part of the Cornell University team responsible for conducting mixed-methods social science and economic research at these proposed agrivoltaics solar
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the agrivoltaics systems. This Postdoctoral Associate will be part of the Cornell University team responsible for conducting mixed-methods social science and economic research at these proposed agrivoltaics solar
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well as the profitability and cost-effectiveness of agricultural production within the agrivoltaics systems. This Postdoctoral Associate will be part of the Cornell University team responsible for conducting mixed-methods
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experience working with large complex longitudinal datasets is required. (Experience conducting statistical analyses such as robust variance, binomial regression, generalized estimating equations, Cox
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berries and high Drosophila populations facilitate the spread of sour rot through vineyards. The sour rot disease complex causes significant economic losses and methods of chemical control for Drosophila
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experience working with large complex longitudinal datasets is required. (Experience conducting statistical analyses such as robust variance, binomial regression, generalized estimating equations, Cox
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, or social science. Computer/information scientists with interest in human behavior are also welcome to apply. The successful applicant will have: Excellent research track record. Excellent programming skills
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experience working with large complex longitudinal datasets is required. (Experience conducting statistical analyses such as robust variance, binomial regression, generalized estimating equations, Cox
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estimating equations, Cox proportional hazard models, repeated measures analyses, and hierarchical analytic methods required.) 3. Excellent quantitative, technical, analytic, and applied research