202 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" uni jobs at Cornell University in United States
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innovative big data analysis tools and machine learning to produce web applications and services to empower a global community of bird and nature enthusiasts, researchers, conservationists, and educators
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or chemical food safety. Teaching (50%): The candidate will be expected to teach one undergraduate course per semester and a third course every other year that could be a graduate seminar (or a course of
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the Nolan School of Hotel Administration, and service to the Area, School, and College. It is also expected that our faculty teach across multiple schools within the College of Business. The ideal candidate
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standing for extended periods, kneeling, and maintaining steady positions Basic computer skills, including the ability to accurately enter information into patient records Ability to work independently as
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at multiple levels within organizations and across communities. Ability to initiate, plan, organize, implement, teach, and evaluate informal educational programs. Ability to identify and utilize program
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qualifications and experience. Learn more about the ILR School and LLI here: ILR School http://www.ilr.cornell.edu NYS Union Leadership Institute https://www.ilr.cornell.edu/union-leadership-institute National
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, implement, teach, and evaluate informal educational programs. Ability to identify and utilize program resources from the organization and the community. Ability to relate effectively to co-workers, advisors
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Machine Learning Software Engineer 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
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for Outreach and Sponsored Research, as well as successful performance, available funding and work. Position rank will be determined by qualifications and experience. Learn more about the ILR School and LLI here
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produce reports Commitment to continuous learning and to modeling values that support inclusion, belonging, wellbeing, and equitable working relationships Preferred Qualifications Knowledge of federal