846 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "UNIV" "Univ" "Univ" positions at Cornell University
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provide staffing and/or programming coverage, as needed, for other Cornell Cooperative Extension Association of Jefferson County After-School Programs. IMPORTANT INFORMATION FOR APPLICANTS: PLEASE READ
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Cornell University, Center for Data Science for Enterprise and Society Position ID: Cornell-CDSES-MAX26 [#30973, WDR-00055857] Position Title: Position Type: Postdoctoral Position Location: Ithaca
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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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professional duties as assigned to fulfill the policies and priorities of the Association. IMPORTANT INFORMATION FOR APPLICANTS: PLEASE READ BEFORE APPLYING All applicants must apply online by close of day on
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Mui Ho Center for Cities at centerforcities@cornell.edu. For more information about the Cornell Mui Ho Center for Cities or Cornell AAP, please visit: https://centerforcities.aap.cornell.edu/ https
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this description, as well as other responsibilities as assigned and deemed appropriate by the Outdoor Recreation Director. IMPORTANT INFORMATION FOR APPLICANTS: PLEASE READ BEFORE APPLYING All applicants must apply
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Materials Required: Further Info: http://www.ece.cornell.edu/ Cornell University School of Electrical and Computer Engineering 229 Phillips Hall Ithaca, NY 14853
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to engage them in these areas and to provide information upon request about the food and farm products sold in the store. Application Instructions In the My Information section be sure to enter your full
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a duration of one-year with options for renewal. Position expected start date in June 2026. The successful candidate will have expertise in the data sciences with software programming skills in SAS
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biodiversity data to enhance the information and decision-making tools available to conservationists and scientific researchers. We achieve this by producing scientific, computational, and big data resources