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advance the use of mathematical and statistical models of infectious disease transmission as tools for anticipating and addressing socioeconomic and geographic inequalities in infectious disease morbidity
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simulations, statistical mechanics, computer programming (e.g., C++, Python), polymer theory, molecular modeling (e.g., of proteins, nucleic acids, ligands), coarse-grain and polymer model development
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PI: Jason M. Klusowski The Department of Operations Research & Financial Engineering (ORFE) invites applications for postdoctoral or more senior research associate positions broadly in statistics
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formation, statistical astronomy, and transient science. Applicants may work with the Department's distinguished faculty and research staff. For a full list of department members and activities, see https
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biophysics -experimental and/or computational genomics -computer science, statistics, and/or machine learning with applications relevant to genomics -bioinformatics -population genetics / genomics
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of tools and public goods. Requirements Applicants must have (or expect to have at time of appointment) a PhD in the social sciences, statistics, computer science, or related fields, and their interests must
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. Preferred qualifications include experience in reinforcement learning, neural networks, and/or statistics. Questions can be addressed to Professor Nathaniel Daw, ndaw@princeton.edu. Review of applications
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quantitative intravital microscopy. 2) Computational or Cell biologists (with expertise in quantitative microscopy, statistical modeling, cell culture, and/or biochemistry) looking to develop expertise in
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Observatories and Princeton University Postdoctoral Fellowship; and positions in research related to: exoplanets, interstellar medium/star formation, statistical astronomy, and transient science. Applicants may
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, 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 solving practical