203 machine-learning "https:" "https:" "https:" "https:" uni jobs at Cornell University
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, comfortable, and purposeful living and learning environment aligned with university values and learning goals. Through partnerships with university faculty and staff, we foster students' personal growth
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teaching hospital. Immerse yourself in a world of constant learning and growth, supported by a community of passionate professionals. As an intern, you will: Attend lectures and labs, including
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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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conferences to stay current in the research field · Enhancing technical skills through continuous learning of new methodologies, software, or statistical techniques Required Qualifications · Ph.D
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(https://centerforcities.aap.cornell.edu/initiatives/overview ). We invite applications from candidates who will have completed their Ph.D. degree no earlier than September 1, 2020, in City Planning, Urban
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teaching and learning For more information, visit: https://human.cornell.edu/nutrition/academics TO APPLY : Click the link to submit your application materials as described below: https
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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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) 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 schools
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Machine Learning , Social Sciences , Biomedical Informatics , Causal Inference , Computational Social Science , Data Science and Information , Data Visualization , Deep Learning , High dimensional Data
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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