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will be accepted after 2025/05/15 11:59PM US Eastern Time. Position Description A postdoctoral associate position is available in the Bartesaghi Lab at Duke University to work in the development of image
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and spontaneous intracranial hypotension (SIH). Duke is an internationally recognized clinical and academic center of excellence for imaging guided spine intervention and has been highly productive in
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. Preferred: Experience with in vitro and in vivo electrophysiology, imaging, mouse behavioral assays, and histological analysis. Computational skills are a plus. Why Join the Yang Lab? A proven track record of
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applications for postdoctoral positions in the area of cosmology (experimental, observational and theoretical) and new techniques in statistical and image analysis. The cosmology group is composed of Profs. Arun
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circuits that regulate motivational and emotional states. The lab uses many state-of-the-art techniques, including deep-brain calcium imaging (2-photon in vivo microscopy) with single-cell resolution and
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(NC State) invite applications for a full-time Postdoc Associate to conduct research on causal inference and analytic methods for data integration, with a focus on innovative statistical methods
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DESCRIPTION Duke University and North Carolina State University (NC State) invite applications for a full-time Postdoc Associate to conduct research on causal inference and analytic methods for data integration
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disorders, specifically glycogen storage disease type II (Pompe disease). The postdoc will contribute to the understanding of the neurological manifestations in GSDs as we have ongoing retrospective and
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. The postdoc’s research projects will focus on inherited metabolic disorders, specifically glycogen storage diseases (GSDs). The postdoc will contribute to the understanding of the neurologic manifestations and
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. The Postdoctoral Associate will apply his/her technical skills toward development and implementation of machine learning, computer vision, and other algorithms for analysis of medical images and prognostication as