85 computational-physics "https:" "https:" "https:" "Univ" "Univ" Postdoctoral research jobs at Duke University
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, physical activity, and market integration on water turnover, energy expenditure, and health metrics among the Daasanach community in northern Kenya. Population Ecology Aging, and Health Network (PECAHN
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these values. Application Materials Required: Further Info: https://ssri.duke.edu/ Duke University Durham, NC 27708
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Duke University, Electrical and Computer Engineering Position ID: Duke-Electrical and Computer Engineering-POSTDOC_YIRAN [#31802] Position Title: Position Type: Postdoctoral Position Location
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Duke University, Physics Position ID: Duke-Physics-POSTDOCKS [#30071, 50788121] Position Title: Position Type: Postdoctoral Position Location: Durham, North Carolina 27708, United States of America
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: Durham, North Carolina 27708, United States of America [map ] Subject Areas: Electrical and Computer Engineering / Engineering Physics , Quantum Engineering , Machine Learning Appl Deadline: 2026/10/01 04
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members of our community have a responsibility to uphold these values. Application Materials Required: Further Info: http://gendersexualityfeminist.duke.edu/ 919-684-3770 Gender, Sexuality and Feminist
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physics journal. Skills Good working knowledge of multiple programming languages for numerical computation, broad understanding of quantum theory, good scientific communication abilities. The intent
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, and analyzing current or future quantum simulations at the intersection of subatomic physics and quantum information science. The successful candidate will also lead peer-reviewed publications and
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, United States of America [map ] Subject Areas: Engineering / Computational Science and Engineering , Machine Learning , Quantum Science and Engineering Appl Deadline: (posted 2026/03/05 05:00 AM UnitedKingdomTime, listed
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. The investigator collaborates with interdisciplinary clinical teams to integrate these computational tools directly into hospital workflows. Routine duties include algorithm optimization and the evaluation of model