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candidates will be required to be in residence in Princeton or the local vicinity or demonstrate to the program's satisfaction the ability to be on campus daily and on short notice in order to fulfill
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: The Form Finding Lab in the Department of Civil and Environmental Engineering (CEE) at Princeton University invites applications for a post-doctoral or more senior research position to support research
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, multiscale modeling, molecular simulation code/software (e.g., LAMMPS, GROMACS), machine learning. Prior experience with applying simulations to biomolecular systems is a plus but not required. Applicants
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), research statement (a short description of past research, expertise, and future interests), and contact information for three references. Positions are for one year with the possibility of renewal pending
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researchers working on an NIH funded project focused on developing new systems models to examine social and biological drivers of infection inequality. The overarching goal of this postdoctoral position is to
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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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fall at the technical forefront of quantitative social science. Candidates should offer state-of-the-art technical or methodological skills, applying innovative techniques in the examination
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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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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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to Princeton's first-class resources. In addition to leading your own research agenda, you will be required to teach or support one of the existing courses in CSML each semester of the academic year. The current