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PhD with an interest in computational social science or data science (broadly defined). This individual will help design, execute, and analyze a series of field experiments on a platform created by the
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requires working with large data sets related to parenting and child development across multiple sites in the United States, helping to prepare data and estimate models for a variety of research papers, and
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in the United States. Preferred methodological skills include statistical analysis of survey and other large-n data, qualitative interviews, and/or text analysis and machine learning skills
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working in large teams with diverse disciplinary, sectoral, and cultural backgrounds; o For those experts in qualitative data, qualitative data experience and analytical skills are considered an asset. Duke
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accelerators including TrueBeam machines – all with onboard kV/MV radiograph/CBCT for IGRT and gated treatment, Halcyon, Ethos, large-bore CT simulators, PET/CT, MR unit, HDR units, ARIA information system, and
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will develop novel machine learning and artificial intelligence (ML/AI) methods for genomics data, especially: large-scale single-cell genomics data, high-definition spatial genomics, digital pathology
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for emerging leaders in clinical data sciences and analytics. Be Bold. Knowledge, Skills, and Abilities Technical Strong background manipulating and analyzing large data sets in Python or go lang. Strong
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at Duke University. The position is ideally suited to researchers with interests in applied coastal ecology. There is room for independence in addition to a large focus on seagrass restoration innovation