2,300 computer "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" positions at Duke University in United States
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, and service while working in an inclusive environment that supports professional growth. Duke offers a competitive benefits package and a workplace committed to collaboration and belonging: https
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must have graduated from the MFA|EDA program at Duke in 2024, 2025 or 2026, and have their degree in hand at the time they begin teaching at Duke. The total course load for each position is four courses
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. · Experience in leadership/mentoring within an applied sports setting. How to Apply: Interested Applicants should submit a cover letter, resume, and list of three references online at https://hr.duke.edu/careers
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family-friendly and cultural programs to eligible team members. Learn more at: https://hr.duke.edu/benefits/ Equal Opportunity Employer: Duke is an Equal Opportunity Employer committed to providing
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discover how we can advance health together. Duke Health Integrated Practice https://careers.dukehealth.org/us/en/dhip Duke Health Integrated Practice comprises more than 110 primary and specialty outpatient
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PhD with an interest in computational social science or data science (broadly defined). This individual will help design, execute, and analyze a series of field experiments on a platform created by the
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discover how we can advance health together. Duke Health Integrated Practice https://careers.dukehealth.org/us/en/dhip Duke Health Integrated Practice comprises more than 110 primary and specialty outpatient
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. Applicants should have a BS or higher degree in a biological or engineering discipline, or be currently enrolled in such a degree program. Must have experience with histological techniques and animal research
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for the football program Track and manage player attendance at required sessions hosted by Futures, ACE, and other Duke or Athletics programs Team Operations & Travel Manage home and away player ticket distribution
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nonlinear dynamical systems to join our interdisciplinary team. Our research focuses on developing and applying computational frameworks—including machine learning, nonlinear dynamical systems, and hybrid