222 machine-learning "https:" "https:" "https:" "https:" "https:" positions at Cornell University in United States
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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 . Cornell's
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, United States of America [map ] Subject Area: Computer Science / Artificial intelligence and machine learning Appl Deadline: 2025/11/21 04:59 AM UnitedKingdomTime (posted 2025/10/23 05:00 AM UnitedKingdomTime) Position
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candidate is expected to teach at the undergraduate, professional master’s, and/or doctoral levels in the Nolan School’s programs and as needed across the SC Johnson College of Business, contribute to
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academic year basis. The School of the Environment and Sustainable Development, Section of Natural Resources and the Environment (SESD NRE) (https://dnr.cals.cornell.edu/ ) is located within the College
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the area(s) of expertise, teaching in The Peter and Stephanie Nolan School of Hotel Administration, and service to the Area, School, and College. It is also expected that our faculty teach across multiple
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agenda, the successful applicant will teach courses in the field of Chinese politics as well as contribute to the broad research and teaching mission of the Department of Government. Ph.D is required
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-quality datasets with machine learning to help the public better identify birds. Public engagement and participatory science are key aspects of the library’s activities, with close collaboration with other
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sciences, computer science, machine learning, and education research. Research Role Research themes for the NTO Postdoctoral Associate include, but are not limited to: Developing or evaluating methodologies
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are seeking candidates who can teach large lower- and upper-level undergraduate and master’s level courses in AI-related fields. Any experience with online or distance learning modes of instruction is valued
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crane. The successful candidate will build reproducible machine learning pipelines, integrate detections into spatial ecological models, and generate conservation-relevant outputs for regional partners