79 advance-soil-structure-modeling Postdoctoral research jobs at Princeton University
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optimization (theory, modeling, and tools). Candidates should apply at: https://www.princeton.edu/acad-positions/position/39361 and include a cover letter, CV (including a list of publications), research
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are interested in candidates who have an interest in: *Advanced Manufacturing and Integration of Scalable Structures *Soft and Living Materials *Natural and Engineered Materials for Energy, Environment and
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Post-Doctoral Research Associate "Property and Poverty," 2026-27, Davis Center and the Institute for Advanced Study. Princeton University's Shelby Cullom Davis Center for Historical Studies and the
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information about the lab, please visit https://mesa-lab.org/. Projects will utilize in vivo mouse models, transcriptomic techniques, and advanced intravital imaging to investigate: 1) How immune cells localize
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interested in computational materials design and discovery. The successful candidate will develop new, openly accessible datasets and machine learning models for modeling redox-active solid-state materials
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, cell biology, structural biology, microbiology, developmental biology, virology, genetics and cancer biology. The term of appointment is based on rank. Positions at the postdoctoral rank are for one year
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of the Princeton Precision Health (PPH) initiative is to revolutionize the understanding and advancement of human health by conducting interdisciplinary foundational research, developing and harnessing advanced
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vulnerability modeling, and (c) population and built environment exposure to climate hazards. The broad agenda of this research is assessing the fitness of geospatial indicators to inform conceptual and policy
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retrotransposition using an integrated biochemical and structural approach with a focus on cryo-EM. The postdoctoral scholar will have access to cutting-edge cryo-EM instrumentation and computational resources through
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, investigating (a) cumulative environmental impacts, (b) the use of census microdata for social vulnerability modeling, and (c) population and built environment exposure to climate hazards. The broad agenda