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Cornell University, Mathematics Position ID: Cornell -VL [#26307] Position Title: Position Type: Teaching stream faculty Position Location: Ithaca, New York 14853-4201, United States of America
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Cornell University, Mathematics Position ID: Cornell -VAP [#26306] Position Title: Position Type: Non tenure-track faculty Position Location: Ithaca, New York 14853-4201, United States of America
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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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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 14-Jun-25 Location: Ithaca, New York Type: Full-time Categories: Staff/Administrative Internal Number: 3-97969 Temporary Wellness Group Fitness Instructor Student and Campus Life (SCL) inspires transformation in all...
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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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performing arts, biological and physical sciences and mathematics, and the social sciences. It offers extraordinary breadth and depth in its programs of study, a world-renowned faculty that includes
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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