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candidate will also develop and implement computational methods to interpret complex data and contribute to the preparation of grant proposals, progress reports, and peer-reviewed publications. In
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. The appointment is viewed as preparatory for a full time academic or research career. The appointment is not part of a clinical research training program, unless research training under the supervision of a senior
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Duke University, Electrical and Computer Engineering Position ID: Duke-Electrical and Computer Engineering-POSTDOC_MGORLA [#31868] Position Title: Position Type: Postdoctoral Position Location
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will contribute to developing and evaluating state-of-the-art methods for predicting mental health outcomes from multi-modal clinical and digital health data. This position offers the opportunity to work
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Duke University, Electrical and Computer Engineering Position ID: Duke-Electrical and Computer Engineering-POSTDOC_YIRAN [#31802] Position Title: Position Type: Postdoctoral Position Location
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field. - Evidence of strong prior experience analyzing large datasets using advanced econometric and statistical methods (using R, Stata, and/or Python). - Strong interest and experience working
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analyst with strong quantitative, modeling, and problem‑solving abilities and a proven ability to communicate complex scientific methods and results to policymakers and the public. Responsibilities include
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collection, and are experts in a variety of qualitative research methods, including in-person, telephone, or web-based data collection; one-on-one in-depth interviews (e.g., qualitative description, concept
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are open to all methods and humanistic fields of inquiry. All projects must include a collaborative element that engages students, faculty, or the wider community. Completed projects will be presented
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Duke University, Electrical and Computer Engineering Position ID: Duke-Electrical and Computer Engineering-POSTDOC_CRICHMOND [#31795] Position Title: Position Type: Postdoctoral Position Location