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Field
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. The research involves the development of practical and computationally efficient methods for adapting and fitting models from survival analysis to infectious disease transmission data and other data, including
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understanding of geomagnetic field evolution across different timescales, including both stable and extreme periods. This will involve working with data-based models and numerical dynamo simulations
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the supervision of Dr. Joseph Kwon. We’re seeking a creative Postdoctoral Scholar to join our team and advance cutting-edge multiscale and hybrid modeling—integrating first-principles simulations with
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of techniques for countering information maneuvers, differences in online harms and influence campaigns across countries, geo-spatial differences in online harms. Successful applicants will need experience in
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models to simulate lifeless and inhabited worlds, and Developing disequilibrium-, redox-, and information-based metrics to understand and quantify the influence of life on planetary environments
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to join our interdisciplinary research group. The successful candidate will conduct original research in biophysical modeling and live-cell fluorescence microscopy, focusing on the actin cytoskeleton’s role
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-based experiments. Proficiency with scientific programming languages and analysis tools such as C++, Python, Geant4, and ROOT. Experience with simulation and modeling of detector systems and physics
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: Using biogeochemical evolutionary models to simulate lifeless and inhabited worlds, and Developing disequilibrium-, redox-, and information-based metrics to understand and quantify the influence of life
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vivo neuroscience experiments in rodent models of addiction. Design and conduct cutting-edge experiments, lead independent research projects, and contribute to collaborative, multidisciplinary studies
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scholar will be expected to be involved in research efforts in at least one of the following: transportation data analytics, highway safety, transportation equity and sustainability, traffic simulation