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sensors. * Explore high-frequency turbidity monitoring as a tool for assessing flocculation dynamics. * Test and refine low-cost optical sensors, including a blue-light absorbance sensor for dissolved
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central controller). ● Develop and validate calibration methods for new sensors for turbidity and existing commercial sensors. ● Explore high-frequency turbidity monitoring as a tool for assessing
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existing commercial sensors. ● Explore high-frequency turbidity monitoring as a tool for assessing flocculation dynamics. ● Test and refine low-cost optical sensors, including a blue-light absorbance sensor
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species distribution modeling, climate data analysis, and natural resource decision-making. The successful candidate will use data from eBird and structured monitoring programs to identify priority areas
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use data from eBird and structured monitoring programs to identify priority areas for migratory forest birds through the end of the century by forecasting species’ responses to projected climate and
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experience with species distribution modeling, climate data analysis, and natural resource decision-making. The successful candidate will use data from eBird and structured monitoring programs to identify
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growers and also include monitoring Drosophila, categorizing grape cluster architecture and damage, monitoring weather variation between sites, and estimating economic costs and benefits. Research