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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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applicants should send a cover letter, curriculum vita, and the names and email addresses of three references to Dr. Mark Wiesner (wiesner@duke.edu). Review of applications will begin immediately and continue
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models using a wide variety of data, including clinical, wearable devices, neuroimaging, and –omics data from electronic health record, registry, and research initiatives; and (2) develop and apply novel
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and email those materials to Meghann Koffi, HR Specialist, at meghann.koffi@duke.edu to be uploaded manually. Duke is an Equal Opportunity Employer committed to providing employment opportunity without
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advantage of those mechanisms. Work Performed Research Development (70%) - Designing robust, rigorous, and reproducible experiments - Carefully documenting labwork and results using electronic lab notebooks
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) and bioinformatics tools Familiarity with data science, machine learning, artificial intelligence, natural language processing and applications to electronic health records and big data and
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. • Curriculum Vitae, including a Publication List • Three references (no actual letters, just names and email addresses). Candidate must be legally authorized to work in the USA (or able to obtain legal