185 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" uni jobs at Cornell University
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curated high-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
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Machine Learning Software Engineer (Remote) *No Visa Sponsorship is available for this position. About the Cornell Lab of Ornithology The Cornell Lab of Ornithology is a tech-centered conservation
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applicants in all research areas and at all levels of seniority. We are particularly interested in candidates with a broad interest in data-driven decisions, especially optimization and machine learning, both
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week. Learn more about the First Amendment Clinic here: https://cornell1a.law.cornell.edu/index.php What We Need A resume and cover letter for full consideration Associate’s degree and 2-4 years
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his/her Workday account, which may be accessed here: http://workday.cornell.edu/ . Please contact Jane Pearson, Association HR Coordinator at 315-788-8450 with questions. POSITION DETAILS: This position
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December 25-January 1 and two floating holidays. Learn more about holiday and accrued time off, visit: https://hr.cornell.edu/about/employment-policy-practice/employment-policies/time-and-leaves/holiday-and
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employees working for the Association advertising this career opportunity) must apply online via his/her Workday account, which may be accessed here: http://workday.cornell.edu/ . Please contact the CCE
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management skills. Additionally, this role will embrace Cornell Dining Code of Professionalism and support Cornell Dining’s overarching mission. This is position is part of the United Auto Workers (UAW) union
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Students are not eligible to apply for this position. For student worker positions, please visit: https://studentemployment.cornell.edu/jobs/find-a-student-job Looking to explore the world of retail
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. This work lies at the interface of statistics, machine learning/AI, ecology, and conservation and spans a range of activities from exploratory analysis, visualization, and discovery to prediction, validation