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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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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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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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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
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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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, United States of America [map ] Subject Areas: Computer Programming Systems Modeling Biochemistry Atmospheric Science Appl Deadline: (posted 2025/02/19, listed until 2025/05/01) Position Description: Apply Position
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: Interested individuals should include the following materials: • Names and email addresses of 3 references • A short cover letter describing your background and career goals • Curriculum Vitae • Writing sample
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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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advantage of those mechanisms. Work Performed Research Development (70%) - Designing robust, rigorous, and reproducible experiments - Carefully documenting labwork and results using electronic lab notebooks