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species of bees, and on-farm assessments of honey bee health. Experience in statistical analysis using R. Must be comfortable mentoring undergraduate students in laboratory and field techniques. Preferred
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Center for Education Statistics and consortial data exchanges). The ability to create and deliver nuanced and tailored reports, data visualizations, and presentations appropriate for tailored audiences
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multiple colleges and Cornell campuses, dedicated to addressing global challenges. It comprises the Computer Science, Information Science, and Statistics and Data Science departments, collaborating with
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. Ordering field supplies and maintaining inventory. Provide basic data analysis using basic statistical methods and computer software (including Excel, R), provide maps using ArcGIS. Support ongoing and
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rearing of honey bees, field cage experiments using multiple species of bees, and on-farm assessments of honey bee health. Experience in statistical analysis using R. Must be comfortable mentoring
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including methods of optimization, applied probability modeling and statistical analysis, manufacturing systems design and operation, and systems analysis and methodology. The Opportunity We are excited
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public speaking Familiarity with machine learning techniques and when they should be used Familiarity with statistical and data mining techniques and when it is appropriate to use them Strong problem
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Science, Information Science, and Statistics and Data Science. It also shares faculty with Cornell Tech and is a partner in the department of Computational Biology. The college is known for bold new ideas expressed in
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, wildlife biology, conservation biology, natural resources, statistics, or a related field, with a focus on quantitative methods in population ecology. Strong mathematical and programming skills, demonstrated
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Postdoctoral Associate: Endangered Bird Conservation in the Western U.S., Cornell Lab of Ornithology
managers (e.g., U.S. Forest Service, U.S. Fish and Wildlife Service, and Bureau of Land Management), and academic researchers specializing in ecology, statistics, and computer science. In addition to working