879 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "Univ" "Univ" positions at Cornell University in United States
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appointment in the Law School. The Team LDI’s mission is to create and make accessible novel data on the dynamics of the labor markets, and conduct research in the field of labor and behavioral economics. We
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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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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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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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submit a CV, letter of interest, research statement, contact information for 3 references via Academic Jobs Online at the following link: https://academicjobsonline.org/ajo/jobs/31352 ">https
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. Additional information about the Northwest New York Dairy, Livestock and Field Crops Team can be found at https://nwnyteam.cce.cornell.edu/ . College of Agriculture and Life Sciences Life. Changing. Cornell
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work builds upon nearly 75 years of fishery and ecological data, including decades of whole-lake manipulations (liming, fish stocking, invasive species control) coupled with long-term surveys
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high-quality peer-reviewed research articles, present findings at scientific conferences and professional meetings, contribute to data visualization, figure preparation, and professional scientific
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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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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