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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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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
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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 Engineering students
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knowledge of VBA and Excel is preferred. Strong knowledge in areas of Computer Science that are relevant for financial databases and modeling, including data structures and algorithms. Excellent computer
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to: Development and utilization of rapid, inexpensive, and/or in situ sensors for real-time detection of chemical hazards e.g., allergens, heavy metals, or mycotoxins during manufacturing and throughout the food
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during food processing and storage. Chemical Food Safety : Appropriate research areas may include but are not limited to: Development and utilization of rapid, inexpensive, and/or in situ sensors for real