2,264 computer-programmer-"https:"-"Inserm" "https:" "https:" "https:" "CNRS" positions at Duke University
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botany, biology, zoology, psychology or other science related scientific field program. Work requires two years of research experience. A related master's degree may offset required years of experience
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Duke University, Program in Linguistics Position ID: Duke-Linguistics-VAP [#31707, 51214115] Position Title: Position Type: Non-regular rank faculty Position Location: Durham, North Carolina 27708
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funding from Duke’s Bass Connections program, proposals will be due early November 2026 for the 2027-28 academic year. Professor paid partial salary and provided with a research fund. Spring Semester 2027
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cultural programs to eligible team members. Learn more at: https://hr.duke.edu/benefits/ Ready to Make a Difference? Apply now and help us build a stronger, smarter, and more connected future at Duke
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and cast to the upper and lower extremity. Accurately fit all DME products used in the clinic. JOB ELIGIBILITY REQUIREMENTS Graduation from accredited Medical Assistant program accredited by
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Services. This position is 100% funded by a sponsored program that is currently funded by a grant through December 31, 2028. The department is a Lilly Endowment funded intermediary organization and is a unit
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program accredited by the Commission on Accreditation of Allied Health Education Programs (CAAHEP) or the Accrediting Bureau of Health Education Schools (ABHES) strongly preferred. High school or GED
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independently and manage remote responsibilities effectively. Preferred Qualifications: Prior experience working with large-scale biobank datasets (e.g., UK Biobank, the All of US Research Program). Knowledge
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balance with the universities’ rigorous academic schedule. This position will directly supervise the highly utilized climbing wall and rental program. The Recreation and Physical Education Department is
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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