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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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) Experimental investigation and computational model simulation of laser-induced bubble dynamics and material damage assessment 3) Developing AI and machine learning models for robot-assisted laser surgery and
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systems, social sciences, epidemiology or other health-related fields. Demonstrated proficiency through previous developed analytical codes with R Language for Statistical Computing and/or Python The ideal
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oral history work, with regard to Beyond the Veil and the SNCC Legacy Project, the multifaceted history of Duke, and a range of other initiatives. The History Department has a vibrant Ph.D. program, and
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neuroscience broadly defined (e.g., Psychology, Neuroscience, Computer Science, or a related field) are welcome to apply. Experience with computational modeling is required. Strengths in open science practices
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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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activities ● Present results at collaboration meetings and scientific conferences Required Qualifications: ● Ph.D. in Physics, Astronomy, Astrophysics, Computer Science or a related field by the start date
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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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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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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