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, United States of America [map ] Subject Area: Engineering / Biomedical Appl Deadline: none (posted 2026/03/23 04:00 AM UnitedKingdomTime) Position Description: Apply Position Description Postdoctoral Associate Under
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Biostatistics & Bioinformatics Duke University invites applications for a postdoctoral associate in scientific machine learning (SciML) as part of a new NIH-funded Center for Excellence in Multiscale Immune
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Position Summary: The Department of Biostatistics & Bioinformatics (B&B) at the Duke University School of Medicine engages in methodological and collaborative research, providing international and
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The Department of Emergency Medicine and the Global Emergency Medicine Innovation and Implementation Research (GEMINI) Center are recruiting a Postdoctoral Associate to the Division of Translational
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responses. Qualifications: A doctoral degree in a relevant field is required, preferably a quantitative field such as epidemiology, bioinformatics, statistics, computer science or engineering. The ideal
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Duke, we celebrate individuality and the unique perspectives that each member of our community brings. As the Postdoctoral Associate, you’ll be a vital part of a collaborative, interdisciplinary team
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Tata lab in the Department of Cell Biology, Duke University School of Medicine seeks a full-time Postdoctoral Associate to study cellular plasticity mechanisms in lung injury repair and tumorigenesis. We
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: Post-Doctoral Associate Position Summary: The Department of Biostatistics & Bioinformatics (B&B) at the Duke University School of Medicine engages in methodological and collaborative research, providing
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, United States of America [map ] Subject Areas: Biological Sciences Biostatistics Health Informatics or Bioinformatics Public Health Epidemiology (more...) Climate Science Environmental Analysis Appl Deadline: (posted 2026
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/bioinformatics, and data science. Work Performed · Work in highly collaborative inter-disciplinary environment with clinicians, econometricians, statisticians, and data scientists · Lead statistical analysis