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Cornell University, School of Criticism and Theory Position ID: Cornell -School of Criticism and Theory -SCT2025 [#29210] Position Title: Position Type: Other Position Location: Ithaca, New York
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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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] Subject Areas: Physics / Hard Condensed Matter Theory , Machine Learning , Material Science , Physics , Quantum Information Science , Soft Condensed Matter Theory , theoretical condensed matter physics
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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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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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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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in theory and practice, and including AI-based applications. In keeping with the mission of Cornell Tech, applicants must also have a strong interest in activities that reach beyond academia
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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