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or at a designated assignment location. Be Bold. In this position, you will Study skeletal muscle biology and function in regulating other tissues, using cellular, molecular, and model animal (transgenic
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sequencing, and spatial transcriptomics. Be Bold. Qualifications: A PhD, MD, or MD/PhD in a biomedical sciences-related field is required, along with a peer-reviewed publication record. Experience in RNA
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School of Medicine Established in 1930, Duke University School of Medicine is the youngest of the nation's top medical schools. Ranked sixth among medical schools in the nation, the School takes pride in being an inclusive community of outstanding learners, investigators, clinicians, and staff...
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Position Description The Lonsdorf Lab in the Department of Evolutionary Anthropology at Duke University seeks a Postdoctoral Associate for research on wild chimpanzee lifespan development. The successful candidate will work as part of a team investigating the intersections of early life...
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FORWARD–to promote and develop excellence in education CLIMB HIGHER–to inspire through innovations in basic science, clinical, and translational research Duke is an Equal Opportunity Employer committed
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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-reviewed
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neurobiology, RNA biology, and evolution. We are especially interested in understanding: How does post-transcriptional control shape neural cell fate and disease? We have discovered canonical and non-canonical
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to better understand disease progression and clinical outcomes of patients. This postdoc will collaborate with multidisciplinary research team members and clinical specialists to advance science in GSDs
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Department of Cell Biology is seeking a Postdoctoral Associate position to join a project in the lab of Debby Silver. The Silver lab at Duke University School of Medicine seeks a highly motivated fully funded
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operates at the intersection of epidemiologic theory, quantitative methods, and translational science, with a strong emphasis on rigorous study design, reproducible analytics, and integration of biological