855 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "IFM" "IFM" "IFM" positions at Cornell University in United States
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oversight of pathogen inoculation, disease phenotyping, and data quality across locations and seasons. The Postdoctoral Associate will lead data analysis, synthesis, and interpretation across microbiological
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Administration, with placement in one of the following three areas within the SC Johnson College of Business: Management and Organizations; Operations, Technology, and Information Management; or Services
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and at Cornell Tech in New York City. The goal of the program is to support groundbreaking research to develop the foundations of artificial intelligence, machine learning, computer vision, natural
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technological capabilities. Information on CBB REU program can be found at: https://cbb.cornell.edu/students The REU program is open, by NSF regulation, only to US citizens and permanent residents. If accepted
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Cooperative Extension Associations) Please refer to the "Applying for a Job (External Candidate)" document for additional guidance here: http://cce.cornell.edu/sites/default/files/applying_external.pdf
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system. Start date is negotiable; the position has 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
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, access to wellness programs, and employee discounts with local and national retail brands. We invite you to follow this link to get more information about our benefits: https://hr.cornell.edu/benefits-pay
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energy insecurity. This position will implement programs that deliver information and provide education in a wide variety of settings, including, but not limited to: outreach at community events
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: Qualified applicants should submit the following materials online at https://academicjobsonline.org/ajo/jobs/30607 : 1) a Cover Letter, 2) a Curriculum Vitae, 3) a Research Statement (2-3 pages, outlining
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—speeding the path from scientific insight to real-world technologies in energy, sustainability, and quantum information. Led by Cornell University, NSF AI-MI accelerates the discovery of next-generation