10 postdoctoral-image-processing-in-computer-science-"EPIC" positions at Duke Kunshan University in China
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Areas: Computer Science / Artificial Intelligence , Computer Architecture , Embedded Systems, Edge Computing, and Mobile Computing Systems , Human-Computer Interaction , Software Engineering , Software
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Areas: Public Policy / computational public policy Social Sciences / Computational Social Sciences Communications / Computational Social Science Political Science / Computational Political Science
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] Subject Areas: Economics / Behavioral Economics Psychology / Social Psychology Political Science / political psychology Behavioral Science / behavioral public policy , behavioral economics , social
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] Subject Areas: Biology / Infectious Diseases , Neuroscience Global Health / Emerging Infectious Diseases , Environmental Health , Global Health , Infectious Disease , One Health Appl Deadline: 2025/10/30
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Duke Kunshan University Position ID: DukeKunshanUniv -25SSSBEHAVSCIVAP [#29609] Position Title: Position Location: Kunshan, Suzhou 215316, China [map ] Subject Areas: Decision Sciences Economics
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, numerical analysis, and relevant adjacent fields. Candidates with an interdisciplinary background, including mathematical physics, physical applied mathematics, computational biology, and evolutionary
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Areas: Philosophy / Philosophy of economics from a normative social & political perspective , Philosophy of Economics from a social, political, and normative perspective , Political Thought , Social and
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Areas: International Relations / International Political Economy Political Science / Political Economy Appl Deadline: 2025/10/30 11:59PM (posted 2025/09/24, listed until 2026/03/24) Position
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are highly encouraged. Candidates must hold a Ph.D. degree in an appropriate field at the time of application. Postdoctoral research/training experience in either therapeutic or imaging physics or both with
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postdoctoral level (or greater) and teaching experience are required, and experience working in an international and interdisciplinary setting is strongly preferred. The successful candidate will have previous