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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 existing commercial
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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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, 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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from multiple systems and sources to answer key operational questions. Deep experience using a variety of data mining/data analysis methods to build and implement dashboards, models and algorithms
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unify programs and curricula in data science with an initial emphasis on questions grounded in data that are generated by human activity, including computational social science (e.g., algorithmic
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data that are generated by human activity, including computational social science (e.g., algorithmic accountability and the interplay of data science with policy, law, and institutions), the economics
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and sources to answer key operational questions. Deep experience using a variety of data mining/data analysis methods to build and implement dashboards, models and algorithms that can help stakeholders
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algorithms. Excellent computer skills, including thorough familiarity with multiple programming languages, some experience in writing non-trivial programs, and familiarity with common algorithms, mathematical
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data that are generated by human activity, including computational social science (e.g., algorithmic accountability and the interplay of data science with policy, law, and institutions), the economics
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such as image processing, sensors, and signal analysis, and more. The school supports 40-50 faculty and instructors across the Ithaca and Tech campuses, approximately 200 undergraduates, 150 Master of