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acids, ligands), coarse-grain and polymer model development, multiscale modeling, molecular simulation code/software (e.g., LAMMPS, GROMACS), machine learning. Prior experience with applying simulations
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on nuclear arms control, disarmament, nonproliferation, verification, and on the global security challenges associated with emerging technologies such as artificial intelligence, quantum technologies, and
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subgrid physics in the ocean, sea ice and atmosphere components of existing coarse ( to 1) resolution IPCC-class climate models, and their coupling, using machine learning. The postdoc will be expected
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to participate in projects that research and refine quantitative methodology for political science. The postdoc will work on a variety of projects, which may include methods for large language models, the impact
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economic theory, game theory, and statistical analysis *Proficiency with relevant software, e.g. Python, R, and STATA. *Excellent writing and analytical skills *Evidence of ability to take the initiative in
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systems at Princeton and in NOAA, working alongside GFDL model developers and software engineers to advance quality assurance and data dissemination capabilities for making high-resolution earth system
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to F/Q Postdoc Search, Department of Politics, 001 Fisher Hall, Princeton University, Princeton, NJ 08544. We will begin reviewing applications on January 15, 2025. This position is subject to the
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specific plans and goals for advancing equity and inclusion if hired as a Princeton postdoc, and contact information for three references. This position is subject to the University's background check policy
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economic theory, game theory, and statistical analysis *Proficiency with relevant software, e.g. Python, R, and STATA. *Excellent writing and analytical skills *Evidence of ability to take the initiative in
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research staff. Projects may include software package creation and maintenance, data engineering, development and/or implementation of advanced statistical methodologies, and supporting research on high