72 software-engineering-model-driven-engineering-phd-position Postdoctoral positions at Duke University
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. The Department of Surgery at Duke University is seeking a qualified Postdoctoral Associate. This postdoctoral research position focuses on applying AI, agentic systems, and software engineering to
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underlying juvenile dermatomyositis and related pediatric conditions. Through the integration of advanced molecular techniques, patient-derived samples, and functional muscle modeling, you will help develop
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. The Departments of Mathematics and the Department of Biostatistics & Bioinformatics at Duke University invite applications for a postdoctoral associate position in mathematical modeling, as part of a
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, audio, pose, sensor, or behavioral data. Experience developing machine learning models for human behavior analysis. Interest in autism research, developmental science, digital health, or behavioral
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Position Description Postdoctoral Associate Job Summary: Drs. Rushina Cholera (Duke-Margolis, Duke Pediatrics), Lisa Gennetian (Duke Sanford), and Sarahn Wheeler (Duke School of Medicine), co-leads
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engineering, and data science, you will contribute to high-impact translational studies integrated within innovative clinical trials. This position is fully grant funded and offers exceptional opportunities
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. This position is designed for scientists with strong computational and quantitative training who are interested in agent-based modeling, network science, infectious disease dynamics, uncertainty quantification
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. What You'll Bring Required Qualifications Postdoctoral Associate PhD, MD, or equivalent doctoral degree in Neuroscience, Physiology, Pharmacology, Biomedical Engineering, Cell Biology, or a closely
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Postdoctoral Associate (9-Month Position) Be You. At Duke, we celebrate individuality and the unique perspectives that drive innovation and discovery. As a Postdoctoral Associate, you will join a
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, or translational oncology. Experience with flow cytometry, immune co-culture assays, drug-response assays, engineered cell models, organoids, patient-derived models, or animal models. Familiarity with antigen