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strategy for the program, translating elite performance, leadership, and culture into compelling content that resonates across recruiting, fan engagement, and brand partnerships. Minimum Requirements: Work
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Cultural Psychology and Neuroscience. Her research uses a combination of methods to examine cultural differences in interdependence, self-perception, and social norms. You can read more about the Duke
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Director, Community Engagement, Constituent Engagement, Duke Alumni Engagement and Development (AED)
Program Development. Lead the strategy for defining, structuring, and providing engagement insights for communities, including boards, select communities, WIN, and regional Women’s Forum efforts. Build a
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-molecule based imaging probes and methods to understand genes and pathways of importance to the treatment of cancer and neurodegenerative disorders. Towards this end, the candidate will exploit
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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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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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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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as necessary. The technician will be directed as to which projects to pursue, methods to employ, and receive any necessary training for new techniques, but will be expected to complete a number of
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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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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