282 machine-learning-"https:" "https:" "https:" "https:" positions at Cornell University
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. Salary will be commensurate with qualifications and experience. Information about the Economics Department appears at https://www.economics.cornell.edu . Priority will be given to applications received by
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our benefits: https://hr.cornell.edu/benefits-pay . Follow this link to learn more about the Total Rewards of Working at Cornell: https://hr.cornell.edu/jobs/your-total-rewards . Cornell's impressive
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areas of interest include the history of migration, gender, law, the environment, memory, and public history. The ideal candidate will teach courses on the history of the Modern Middle East, including
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sector partners. The candidate should have a background in bringing OR methodologies (including AI and machine learning) to bear on real-world operational problems. The position will also entail teaching
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, especially optimization, artificial intelligence, applied probability, statistics and machine learning, both in theory and practice. Though the position is primarily intended at a junior level, we also welcome
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information about our benefits: https://hr.cornell.edu/benefits-pay . Follow this link to learn more about the Total Rewards of Working at Cornell: https://hr.cornell.edu/jobs/your-total-rewards . Our leave
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able to collaborate with existing faculty to bridge the gap between cloud-scale processes and Earth system modeling and teach undergraduate and graduate classes on atmospheric science and analysis
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existing faculty to bridge the gap between cloud-scale processes and Earth system modeling and teach undergraduate and graduate classes on atmospheric science and analysis techniques. Outstanding research
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, theory, research, extension methods, and educational materials in the subject matter field. Coursework in environmental or natural resource economics. Advanced computer skills and the ability to use
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and machine learning) to bear on real-world operational problems. The position will also entail teaching responsibilities that enrich and broaden students’ exposure to applications of OR in society