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Field
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master's degree (or equivalent) and PhD in Mathematics/Statistics/Data Science Research expertise in the analysis of complex systems Familiar with network analysis, concepts of resilience (e.g. adaptive
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Department of Chemical and Biological Engineering at Princeton University. The position is in the broad area of renewable energy systems synthesis, analysis, and optimization. The goal of the project is to
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year of a PhD program who are looking to postpone the formal economics job market and build a strong academic record. The position does not require teaching, but it may be possible to get teaching
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Spaces Sciences at the University of Washington seeks a Postdoctoral Scholar to work on numerical simulations and data analysis to inform the search for life on exoplanets. The position will be supervised
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the Andlinger Center for Energy and the Environment and the Department of Chemical and Biological Engineering at Princeton University. The position is in the broad area of renewable energy systems synthesis
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to possible renewal for up to 3 years. The position is available immediately, but the exact start date for the position is negotiable. A start date as soon as possible is highly desirable. Postdoctoral
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Qualifications: We seek exceptionally strong candidates with a PhD in statistics, biostatistics, computer science or a related field. Candidates with demonstrated accomplishment in academic research, as can be
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. Christopher Emrich at the University of Central Florida. The appointment will be through Princeton's School of Public and International Affairs. The research position requires a PhD in a relevant field (e.g
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experimentalists and theorists. Essential Duties and Responsibilities: • Perform Resonant Inelastic X-Ray Scattering synchrotron experiments in the LCLS-II qRIXS Early Science program • Perform photo-luminescence
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skills Minimum of 3 years of experience conducting community-based participatory research Advanced understanding of systems science approaches and ability to bridge quantitative and qualitative research