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14853, United States of America [map ] Subject Areas: Nutrition Bioinformatics / Clinical , Computer Science , Mathematics , statistics Public Health Data Science Medicine (more...) Epidemiology Salary
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health To be eligible, candidates must: Have received a PhD in computer science, information science, bioinformatics, biostatistics, mathematics, nutrition, epidemiology, biomedical engineering, medicine
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program in AI, Deep Learning, and machine learning applications for climate science. This research position will advance cutting-edge approaches to climate prediction, extreme event detection, and seasonal
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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 courses to an extent consistent with the terms of the funding of the position. Required Qualifications: A PhD in Mathematics, Data Science, Computer Science, related STEM fields, or areas of social science
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around the world. Position Function The Department of Earth and Atmospheric Sciences at Cornell University is seeking a Senior Research Associate to lead an innovative research program in AI, Deep Learning
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innovative research program in AI, Deep Learning, and machine learning applications for climate science. This research position will advance cutting-edge approaches to climate prediction, extreme event
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that includes the College of Agriculture and Life Sciences (CALS), where these two positions reside, the Cornell Ann S. Bowers College of Computing and Information Science , and the School of Industrial and
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educational tools, as well as electronic technology (e.g., video, audio, computers, etc. PREFERRED QUALIFICATIONS: Background in Education, Interpretation, and/or Composting Direct experience working with youth
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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