2,653 data "https:" "https:" "https:" "https:" "University of Ostrava" positions at Duke University
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: Leveraging big data and computational methods to analyze adaptation behaviors and incorporate its costs and benefits into climate impact assessments. • Adaptation of Places: Partnering with natural scientists
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partners to align the vision and quality of all orientation projects. Collect data and feedback to assess program outcomes and recommend enhancements. Communications Oversight Lead communication timelines
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needs, solve problems proactively, and adapt processes over time. Other Requirements This position is hybrid eligible. You must reside in a https://remotework.duke.edu/guidelines/outside-nc/. Regular
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a supportive environment that values your well-being and growth. Learn more about Duke University’s competitive benefits package: https://hr.duke.edu/benefits/ Work requires knowledge of botany
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academic integrity processes and ADA academic accommodation services with a strategic, data‑informed, and student‑centered approach. What You'll Do: - Lead the end‑to‑end administration of the Honor Code
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information and research outputs. Coordinate cross-functional teams as part of a matrix organization with Program Leader Is and support task assignment and monitor workload and project performance. Support the
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and/or supervisor. Data entry into the computerized maintenance management system (CMMS) relevant to work orders, inventory/ asset management, and preventive maintenance forms, lockout/tagout procedures
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competitive medical and dental care programs, generous retirement benefits, and a wide array of family-friendly and cultural programs to eligible team members. Learn more at: https://hr.duke.edu/benefits
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policies. Guide development and use of data systems to track outcomes and inform decision-making. Manage the TAO budget and align resource allocation with Dean of Students Office priorities. Establish and
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(Level 11), you’ll be a vital part of a collaborative, interdisciplinary team that supports students from diverse backgrounds as they pursue careers in data science. Be Bold. As a key member of the MMS/MQM