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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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expression, gender identity, genetic information, national origin, race, religion, sex (including pregnancy and pregnancy related conditions), sexual orientation or military status. Duke aspires to create a
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skills are expected. This position requires a PhD. To apply, candidates should submit a cover letter, curriculum vitae, and contact information for three references to Professor Tai-ping Sun, email address
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regional leadership in biostatistics, genomics, biomedical informatics, artificial intelligence and health data science. The Postdoctoral Associate will conduct research in statistical machine learning and
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developing study designs, programming experiments, data collection and analysis, manuscript preparation, research presentations, IRB submissions, and the supervision of students and research assistants
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interventions and “nudges” in collaboration with external partners (e.g., companies, nonprofits, policy organizations) • Using advanced data analysis methods to extract interpretable patterns from large, messy
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, a current CV, and contact information for three references. Questions can be directed to Daniel Schmitt (daniel.schmitt@duke.edu). Applications will be evaluated by a search committee, with final
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information, national origin, race, religion, (including pregnancy and pregnancy related conditions), sexual orientation, or military status. Duke aspires to create a community built on collaboration
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committed to providing employment opportunity without regard to an individual's age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion
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Program, and the field site in Kenya, and engage with investigators at all sites across various disciplines. The project will focus on conceptualizing, innovating, and implementing data-driven approaches