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, and iterate the design of a next-generation turbidity meter (Arduino-based with radio communication to a central controller). ● Develop and validate calibration methods for new sensors for turbidity and
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-derived estimates of relative abundance to population size to quantify the combined impacts of climate and land-use/land-cover change on population persistence. In addition to external partners
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scenarios to inform long-term conservation planning and decision-making. Using structured survey data to scale eBird-derived estimates of relative abundance to population size to quantify the combined impacts
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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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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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statistical analyses such as robust variance, binomial regression, generalized estimating equations, Cox proportional hazard models, repeated measures analyses, and hierarchical analytic methods required.) 3