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H. C. Wang (Term) Assistant Professorship The Mathematics Department at Cornell University invites applications for two H.C. Wang Assistant Professor and one Kesten Assistant Professor, non-tenure
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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
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. The successful candidates will conduct research and teach in the areas of advanced data science, statistical methodology, or statistical theory to advance the mission of the department. Candidates will be
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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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mathematics), healthy lifestyles, and other programs as assigned. This position works as part of a 4-H team recruiting program participants, working with partner organizations, and performing existing or new
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types and brain patterns we perform closed-loop optogenetic manipulations of neural activity, allowing refinement and updating of the theories guiding experiment. Overall, our research aims to understand
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of infrastructure and technology systems for mathematical/computational modeling and control theory for life-cycle management optimization and policy of smart and sustainable infrastructure and environment systems