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meetings. Additional Information: Applicants must hold a PhD in demography, sociology, epidemiology, or a related field. The work location for this position is in-person on campus at Princeton University
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, a research statement, a cover letter and contact information for three references. To learn more about PLI at Princeton, please visit . If you have any questions about this position or the application
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simulations, statistical mechanics, computer programming (e.g., C++, Python), polymer theory, molecular modeling (e.g., of proteins, nucleic acids, ligands), coarse-grain and polymer model development
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must also be comfortable working with and mentoring graduate and undergraduate student researchers. To be eligible for this position, a PhD in Mechanical Engineering, Aerospace Engineering, Chemical
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data and developing the algorithms and tools that enable the work of their team. Thus, the ideal candidate for this position must have a biological background, the ability to translate scientific
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methods range from process-tracing in controlled lab and virtual-lab experiments, to field experiments in real-world settings, to using big data, and include both quantitative modeling and qualitative
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to begin July 1, 2025. Essential Qualification: PhD or equivalent degree in a relevant discipline. To apply, visit https://puwebp.princeton.edu/AcadHire/position/38242 and submit a current CV, a research
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big data, and include both quantitative modeling and qualitative approaches. The research group manager will report directly to the lab director, Professor Weber, and work closely with research group
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on data science and engineering. The scientist will collaborate with Princeton and GFDL researchers to enhance, analyze and deliver high-resolution earth system model data, with an emphasis on Seamless
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on developing new systems models to examine social and biological drivers of infection inequality. The overarching goal of this postdoctoral position is to advance the use of mathematical and statistical models