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, manufacturing, transportation systems, financial engineering, service systems and network science. We value mathematical and technical depth and innovation, and experience with applications and practice. Ideal
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science (20%). Minimum Requirements Ph.D. in a mathematics or science field. Postdoctoral (post-grad) experience (minimum 6 months in government, academia, or industry). Experience in applying machine
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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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of Mathematics at Cornell. Members of the lab engage in interdisciplinary research, drawing on approaches from geometry, topology, graphs and networks, probability/statistics, and algorithm design, in conversation
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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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to teach at all levels of the program, and a PhD in operations research, mathematics, statistics, or a related field by the start of the appointment. Salary will be appropriate to qualifications and
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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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Information Science (Bowers CIS), and the School of Industrial and Labor Relations (ILR). Specializations ranging from mathematical statistics, computational statistics and machine learning to the development
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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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science (20%). Minimum Requirements Ph.D. in a mathematics or science field. Postdoctoral (post-grad) experience (minimum 6 months in government, academia, or industry). Experience in applying machine