90 computer-science-data-warehouse "https:" Postdoctoral positions at Duke University
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Health Sciences. The position will be focused primarily on analyzing data from projects related to emergency medical services, focused on stroke care, and climate change implementation science. This role
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involves designing, executing, and analyzing current or future quantum simulations at the intersection of subatomic physics and quantum information science. The successful candidate will also lead peer
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brain evolution. We employ a multifaceted strategy to bridge developmental neurobiology, RNA biology, and evolution. Learn more about our interests, motivations and discoveries: https://sites.duke.edu
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and assist with collecting and analyzing pilot data and writing scientific grant proposals on community-based interventions for hypertension for major funding agencies under the direction
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—induced by targeted drugs—can serve as a powerful therapeutic avenue in prostate cancer. Working under the mentorship of a Duke faculty leader, you will develop your independent research program, contribute
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regional leadership in biostatistics, genomics, biomedical informatics, artificial intelligence and health data science. The Postdoctoral Associate will conduct research in statistical machine learning and
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assistance, if needed. Minimum Qualifications The candidate should have a Ph.D. in Engineering, Physics, Applied Mathematics, Computer Science, or a related area. Experience 0+ years of postgraduate experience
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this position; no new applications will be accepted after 2025/12/18 11:59PM US Eastern Time. Position Description Postdoctoral Associate in Synthetic/Medicinal Chemistry Location: The Hong Group (https
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, United States of America [map ] Subject Areas: Mathematics / applied mathmetics , Mathematical Sciences , Partial Differential Equations , Statistics Computer Science Machine Learning Appl Deadline: none (posted 2025/08
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. Robert Calderbank’s research group. The successful candidate will conduct numerical simulations, develop and implement computational methods to interpret complex data, and contribute to the preparation