875 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "Univ" "Univ" "Univ" positions at Cornell University
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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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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
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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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an equal opportunity employer. For more information, visit hr.cornell.edu/eeo. Key Responsibilities: Support CDO and MGO gift strategies; this includes preparing high-quality written materials
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of Information Technology, Facilities, Accounting, Data-Driven-Decision Capabilities, Risk Management, Management/Financial Reporting, Data and Business Analytics, and Financial Planning support services to departments
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, or still being built. Sound judgment, confidentiality, and ownership in day-to-day work. Applies critical thinking to data and decisions, handles sensitive information with discretion, and takes
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administrative systems and processes across all Cornell University locations. Its name CEMI is said as “See Me” because the focus is on you: the people who use Cornell’s systems and data to accomplish your goals
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to research security and Controlled Unclassified Information. This new position will report to the Export Control and Research Security Officer. The Opportunity As Restricted Research Officer, you will support
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willingness to work with a high degree of integrity, accuracy, organization, sound professional judgment, and the ability to handle confidential, sensitive information. • Ability to align educational
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Data analysis and pipeline development Technology-based solutions for advancing population health To be eligible, candidates must: Have received a PhD in computer science, information science