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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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of output from global climate models (CMIP-class models) as well as Integrated Assessment Models (IAMs) such as GCAM or PAGE. The candidate must have a PhD degree in a related field, be fluent in computer
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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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engineering or related disciplines with experience in optics, computation and electronics. Responsibilities will include designing and implementing optical systems based on quantitative phase imaging with
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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
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and email those materials to Meghann Koffi, HR Specialist, at meghann.koffi@duke.edu to be uploaded manually. Duke University is an Affirmative Action/Equal Opportunity Employer committed to providing
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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