746 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "IFM" "IFM" "IFM" uni jobs at Cornell University in United States
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world. The Cornell Lab of Ornithology is a globally recognized leader in technology, data management, and large-scale citizen science supporting birds and biodiversity conservation. We curate more than a petabyte of
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. The current rate of pay is listed in the collective bargaining agreement here: https://hr.cornell.edu/sites/default/files/2023-04/uaw.pdf and starts at $22.68/hour. Required Qualifications: High School
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tasks such as data management, report preparation, and updating program materials. Required Qualifications: High school diploma or equivalent Ability to work outdoors performing field scouting activities
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, sensitive information. • Ability to effectively participate in professional team efforts. • Ability to organize, manage, and prioritize multiple tasks, deadlines, requirements, and priorities
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Statistics and Data Science College of Arts and Sciences American Studies History Humanities Scholars Program Milstein Program Technology & Humanity Molecular Biology and Genetics Philosophy College of Human
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Population Studies (CAPS) is one of the major programmatic units at the Lab, collecting and disseminating biodiversity data to enhance the information and decision-making tools available to conservationists
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and willingness to work with a high degree of integrity, accuracy, organization, sound professional judgment, and the ability to handle confidential, sensitive information. • Ability to organize
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who wish to further develop their experience in science librarianship, data literacy, or research support. As a member of a collaborative and supportive team, the successful candidate will receive
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of the major programmatic units at the Lab, collecting and disseminating biodiversity data to enhance the information and decision-making tools available to conservationists and scientific researchers. We
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coordination of daily front-line HR operations within the school by maintaining a strong understanding of HR processes and data, demonstrating agility, and applying strong communication and problem-solving