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of the lab. Position will conduct postdoctoral research related to the overall goals of the Silver lab to understand mechanisms of brain development, disease and evolution. DEFINITION: The Postdoctoral
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medical research needs Solid background in causal inference and survival analysis Experience with clinical trial research, machine learning, and high-dimensional statistics (desirable but not required
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mechanisms underlying risk for addictive disorders—with a primary focus on tobacco dependence and relapse—and translating this information to develop more efficacious interventions. This position is supported
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manipulation, viral gene therapy, pharmacological studies, gene editing, and physiological measurements of cardiac electrical and mechanical function at a variety of spatial scales from a single cell to whole
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an opening for a Postdoctoral Associate at the Duke University School of Medicine. We are seeking a motivated person to research the mechanisms of, and interventions for, influenza virus disease using high
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Duke University, Computer Science Position ID: Duke -CS -PDA_RUDIN25 [#30110] Position Title: Position Location: Durham, North Carolina 27708, United States of America [map ] Subject Area: Computer
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pathways and mechanisms underlying autoimmunity from a lncRNA and epigenetic gene regulation perspective. We utilize biochemical assays, tissue culture, mouse transplantation & disease modeling experiments
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collaborative and methodological publications in high- quality, peer-reviewed journals. Qualifications: Candidate must have the following: a doctoral degree in statistics or biostatistics; solid training in
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behavioral assays related to reinforcement learning and neuropsychiatric disease models. • Combine DART with modern imaging and behavioral tools to examine neurobiological mechanisms. • Analyze data, document
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the umbrella of the public sector innovation initiative at Duke University. Solid background in programming (e.g. Python) is required. The goal is to find a solutions to consider materials infrastructures in