2,232 computer-programmer-"https:"-"CNR" "https:" "https:" "https:" "https:" "https:" "UNIV" "UNIV" uni jobs at Duke University
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more than 150 countries. Be You. At Duke, we celebrate individuality and the unique perspectives that each member of our community brings. As the Program Director for the Duke Center for Documentary Studies
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Program for the development, implementation, and evaluation of cord blood banking. Perform other related duties incidental to promoting public cord blood banking and the education and recruitment of donors
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into Writing 120 instruction and related programming. Design and implement outreach for the QuadEx residential program to engage sophomore and junior students. Promote teaching and learning services through
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international programs in more than 150 countries. Be You. Bass Connections — Duke University’s signature program supporting collaborative, interdisciplinary research — is looking for an Assistant Director. In
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program, with a Master's degree in Nursing. PA: Graduate of ARC accredited Physician Assistant Program, preferably Master’s or Doctoral Degree. Certification License NP: Current unrestricted RN license
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containing dust and mold is possible. - Perform other duties as assigned. What You’ll Bring - Current enrollment in an accredited graduate program in archival studies, public history, library
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the Sanford School of Public Policy at Duke University in Durham, NC invites applications for two adjunct faculty positions in the Journalism & Media program. These positions would teach an undergraduate course
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Instructor to serve as faculty-mentor for their Game Design, Development and Innovation Program. Coaching sessions will be provided to a group of students (Group as a game studio). This position is expected
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, Computer Science, or related field focusing on quantitative and risk analytics. Preferred graduate of a program that mixes financial theory with application in a programming environment. Equivalent work experience
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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