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Two Faculty Positions Available in the Department of Statistics and Data Science, Cornell University
mathematical statistics, computational statistics, and machine learning to the development of statistical methods for astrophysics, ecology, economics, epidemiology, financial modeling, genomics, high
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Labor Relations (ILR). Specializations in the department range from mathematical statistics, computational statistics, and machine learning to the development of statistical methods for astrophysics
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bonus if you have any of the following: Masters or professional degree. BS in mathematics, physics, chemistry, engineering, computer science, or related discipline. Demonstrated leadership in effective
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transformed the scholarly communication and knowledge dissemination of multiple fields of physics, mathematics, computer science, quantitative biology, quantitative finance, and statistics, electrical
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repository has transformed the scholarly communication and knowledge dissemination of multiple fields of physics, mathematics, computer science, quantitative biology, quantitative finance, and statistics
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, technology, engineering, arts, and mathematics) programming. Demonstrated ability to use computer technologies for educational and communication purposes. Knowledge and experience in a non-formal education
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communication and knowledge dissemination of multiple fields of physics, mathematics, computer science, quantitative biology, quantitative finance, and statistics, electrical engineering, systems science, and
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Student and Campus Life (SCL) inspires transformation in all Cornell students on their journey of individual, academic and personal evolution. Our division is comprised of leading student affairs experts who support our campus on pressing student life matters including public service, health,...
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Two Faculty Positions Available in the Department of Statistics and Data Science, Cornell University
mathematical statistics, computational statistics, and machine learning to the development of statistical methods for astrophysics, ecology, economics, epidemiology, financial modeling, genomics, high
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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