15 phd-position-for-fully-funded-reserch-in-computer-vision PhD positions at Duke University
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, and surgeries. Position Responsibilities • Performing independent experiments, simulations, and theoretical investigations. Data collection and evaluation of data relevance
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. The initial appointment will be for one (1) year, with opportunities for extension based upon performance and available funding. Responsibilities include chart review and data collection, image analysis
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researchers nationwide. This position is 100% grant funded. Beyond the engaging work, you'll also benefit from Duke's competitive benefits package, including health insurance plans, generous paid time off
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trainees are consistently among the top- funded researchers nationwide. This position is 100% grant funded. Beyond the engaging work, you'll also benefit from Duke's competitive benefits package, including
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, scientific writing, grantsmanship, outreach and communication, and successful presenting at scientific events. The position is renewable for a long-term contingent upon merit evaluation and funding situation
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opportunity to conduct independent research under the mentorship of a Duke faculty member, preparing you for a full-time academic or research career. You’ll work on an R01-funded project, analyzing imaging data
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This Position is Grant Funded 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
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The Department of Biostatistics & Bioinformatics at Duke University invite applications for a postdoctoral associate position in mathematical modeling, as part of a new NIH-funded Center for Excellence in
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Description: Fully funded postdoctoral positions are immediately available in the Department of Neurosurgery at the Duke University School of Medicine. We are seeking candidates interested in leading projects
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computational models of the immune response for multi-scale epidemic models. This position offers an excellent opportunity for recent graduates interested in applying quantitative and computational methods