2,419 computer-science-quantum "https:" "https:" "https:" "https:" "https:" "U.S" positions at Duke University
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Duke University, Biomedical Engineering Position ID: Duke-BME-DUKEHICKEY2 [#31742] Position Title: Position Type: Other Position Location: Durham, North Carolina 27708, United States of America [map
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, United States of America [map ] Subject Areas: Mathematics / Algebra , Algebraic Geometry , Algebraic Topology , all areas in mathematics , all areas of mathematics, and frontiers of physics, computer science, finance and
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hours via Zoom (https://duke.zoom.us/j/8603053542 ) and pose questions through the anonymous Q&A feature. All times listed are local to North Carolina (eastern time U.S.). • Friday, March 20, 3:00 to 4:00
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Duke University, Biomedical Engineering Position ID: Duke-BME-DUKEMCINTYRE [#31369] Position Title: Position Location: Durham, North Carolina 27708, United States of America [map ] Subject Area
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skills, and have access to unique networking opportunities. Minimum Requirements: Interns must have a quantitative background (e.g., statistics, biostatistics, mathematics, computer science, engineering
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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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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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Duke University invites applications for the position of Adjunct Professor to teach the course “Marketing Technology” (MarTech) in Fuqua’s Daytime MBA program in the fall of 2026. This course covers the
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Duke University, Biomedical Engineering Position ID: Duke-BME-DUKEMCINTYRE1 [#31596] Position Title: Position Type: Postdoctoral Position Location: Durham, North Carolina 27708
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, computer science, engineering, applied social science, data science, or related field. 4+ years of progressive experience in computational social science, including data capture, cleaning, analysis, machine learning