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Duke University, Sanford School of Public Policy - NRR Position ID: Duke-SSPP-NRR-POSTDOCLANSFORD [#31735] Position Title: Position Type: Postdoctoral Position Location: Durham, North Carolina 27708, United States of America [map ] Subject Area: Public Policy Appl Deadline: (posted 2026/02/25...
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under Drs Ostrom and Patel’s mentorship. Be You. Requirements: The applicant should have a Ph.D. in computational biology, bioinformatics, computer science, statistics, genetic epidemiology, or a related
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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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Experience- Preferred--device design, fabrication and testing with microfabrication and integrated photonic devices. Skills- Preferred--Quantum software, quantum computing Duke is an Equal Opportunity Employer
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or scholarship and may include teaching responsibilities The appointment is generally preparatory for a full-time academic or research career. The appointment is not part of a clinical training program, unless
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: Leveraging big data and computational methods to analyze adaptation behaviors and incorporate its costs and benefits into climate impact assessments. • Adaptation of Places: Partnering with natural scientists
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teaching responsibilities. The appointment is generally preparatory for a full time academic or research career. The appointment is not part of a clinical training program, unless research training under
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career. The appointment is not part of a clinical training program, unless research training under the supervision of a senior mentor is the primary purpose of the appointment. The Postdoctoral Appointee
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is generally preparatory for a full time academicor research career. The appointment is not part of a clinical training program, unless research training under the supervision of a senior mentor is the
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healthcare. Qualifications Required: PhD (or equivalent) in computer science, statistics, biostatistics, electrical/biomedical engineering, or related quantitative field. Strong background in machine learning