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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
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, and developing curriculum in AI applications for climate science (20%). Minimum Requirements Ph.D. in a mathematics or science field. Postdoctoral (post-grad) experience (minimum 6 months in government
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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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management skills to maintain optimal levels of efficiency established by the department. In-depth understanding of pharmacy methods and procedures, including chemistry, mathematics, and national formulae
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management skills to maintain optimal levels of efficiency established by the department. In-depth understanding of pharmacy methods and procedures, including chemistry, mathematics, and national formulae
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laboratory. Working knowledge of undergraduate mathematics, programming and statistics. Strong reasoning skills and judgment are necessary. Must be personable, flexible, possess excellent organizational and
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to maintain optimal levels of efficiency established by the department. In-depth understanding of pharmacy methods and procedures, including chemistry, mathematics, and national formulae. Knowledge of federal
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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