2,353 engineering-computation-"https:" "https:" "https:" "UCL" positions at Duke University
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of Adjunct instructor to teach in the PhD program in the 2026/2027 academic year. This position, in conjunction with three other faculty, will teach a portion of the PhD course "Emerging Topics in Operations
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the political economy of financial technology (fintech). The postdoctoral associate will contribute to research and mentoring as part of the PIs Financial Innovation & Inclusion Lab (FinLab). FinLab conducts
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. Serve as the Major Gifts liaison for assigned varsity programs, developing targeted fundraising strategies aligned with program priorities. Participate in development travel and engage with donors
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The International Comparative Studies (ICS) program at Duke University invites applications for an Instructor (Non-Regular Rank) that begins August 25, 2026. This is a non-renewable faculty position for two semesters
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requires analytical, communications and organizational skills generally acquired through completion of a bachelor's degree program. Experience Work requires one year of experience in program administration
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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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expected to develop their own active research portfolio, especially as it provides complementary synergies with other EAP activities and themes. More information on the EAP is available at https
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researchers in quantum information science and engineering. Our state-of-the-art quantum computing facility supports groundbreaking research and the practical application of quantum technologies. This position
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, policies, and systems to ensure data security and provenance. In addition, recognizes and reports security of physical and electronic data vulnerabilities. Learns and uses new technology when required
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analysis strategies. • Modify existing lab or computational techniques to support evolving research needs. • Review scientific literature to inform experimental and data analysis approaches. • Use and