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collaboration between Dr. Warren Grill and Dr. Angel Peterchev at Duke University and Dr. Axel Thielscher at the Danish Research Center for Magnetic Resonance and Technical University of Denmark. This work is
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for Magnetic Resonance and Technical University of Denmark. This work is part of a long-standing research program at Duke for rigorous computational modeling and experimental characterization of both invasive
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Duke University, Electrical and Computer Engineering Position ID: Duke -Electrical and Computer Engineering -POSTDOCYIRANCHEN [#30336] Position Title: Position Type: Postdoctoral Position Location
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: To apply, please email the following documents to T.song AT duke.edu and Michael. Lutz AT duke.edu: 1. CV: Including a list of publications 2. Cover Letter: Describing your research interests and
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, including Computer Science, Electrical and Computer Engineering and Music and will be expected to participate in the preparation of research proposals and scientific publications. The candidate will also be
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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
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Assessment Models (IAMs) such as GCAM or PAGE. The candidate must have a PhD degree in a related field, be fluent in computer programming, preferably python, and will ideally have experience in working with
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application and email those materials to Meghann Koffi at meghann.koffi@duke.edu to be uploaded manually. Questions about the position can be emailed to phia.salter@duke.edu (please use “SPARCL Postdoc Inquiry
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. ArcGIS) To apply, please submit a cover letter, curriculum vita, and the names and email addresses of three references. Review of applications will begin immediately and continue until the position is
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of postgraduate experience. Skills The candidate must have strong experience in statistical mechanics, molecular simulations, polymer and colloidal physics, coarse-graining, computer programming, and high