2,167 computing "https:" "https:" "https:" "UNIVERSITY OF BUCHAREST" positions at Duke University
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now accepting applications to the Specialty Nurse Intern Program (SNIP) for the July 27, 2026 Cohort! Specialty Nurse Intern Program (SNIP) This specialized training program at Duke University Hospital
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Health's mission across the state of North Carolina. JOB LOCATION Division of Geriatrics and Palliative Care– 40 Duke Medicine Circle, Durham NC 27710 JOB SUMMARY We are seeking a Program Specialist in the
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The Associate in Research will be responsible for using and developing computational algorithms to analyze single-cell and spatial-omics datasets. Specifically, we have multiple projects where we are generating
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academic institutions. Individual will develop and test novel computational models of the neural activity generated by electrical stimulation of the brain. Also, perform data analysis utilizing medical
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(e.g., advance directives, abuse reporting). Required Qualifications Education: Master’s degree in social work (MSW) from a CSWE-accredited program. Experience: Minimum three years of social work
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dynamics. Experience in synthesis, protein chemistry, spectroscopy, modern computational methods and excited-state dynamical studies is desirable. This is a short-term position, available for six months. A
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other Duke faculty, or faculty at other academic institutions. Individual will develop and test novel computational models of the neural activity generated by electrical stimulation of the brain. Also
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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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Description: Apply Position Description Position Description: The Duke Master of Interdisciplinary Data Science (MIDS) program invites applications for an Adjunct Assistant Professor position with expertise in
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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