2,263 web-development "https:" "https:" "https:" "Newcastle University" positions at Duke University
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programming (educational, social, cultural, etc.), coaches students in developing and executing programming, leads student-facing marketing/communications efforts, and strengthens the overall support that JLD
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prioritizing the alignment of scientists and research infrastructure with departmental and institutional strategies and program priorities, including those essential to collaborative activities. · Develop
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, advising, or consulting on AI or data topics. Experience with both quantitative and qualitative analytical methods. Other Requirements Proficiency in Python and/or R. Skills in survey development, machine
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of Biostatistics and Bioinformatics is seeking a highly motivated and detail-oriented Post-Doctoral Associate to join our interdisciplinary team focused on developing computational models of the immune response
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to review work assignments and develop plans for research experiments; make minor modifications to existing laboratory procedures and techniques to meet the needs of the particular equipment as required
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experience. Applicants should submit their materials electronically at https://academicjobsonline.org/ajo/jobs/31833 The deadline for applications is March 25, 2026. Duke is an Equal Opportunity Employer
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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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. Duke’s introductory physics course sequences are described here: https://physics.duke.edu/undergraduate/course-selection/introductory-physics-course Introductory physics is usually taught by a team of
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the Assistant University Archivist to build authentic relationships with student groups across campus. - Support workshops, social media content, blog posts, and exhibits that elevate the UA’s student-collecting
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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