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- Heat and Health Applications of Statistical Downscaling Description: Princeton University's Atmospheric and Oceanic (AOS) Sciences Program, in cooperation with NOAA's Geophysical Fluid Dynamics
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their fields of scholarship using techniques from machine learning and statistics. Applicants may also make research advances in the machine learning and statistical methods themselves, as necessary
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-computer science, statistics, and/or machine learning with applications relevant to genomics -population genetics / genomics
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Professor level with a target starting date September 1, 2024. The search is across the broad areas of Optimization, Statistics, and Machine Learning and their applications to engineering fields. The ORFE
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applications at the intersection of statistical mechanics, multiscale simulation, and machine learning. The successful applicant will be appointed through the Chemical and Biological Engineering Department
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experience in 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
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on developing new systems models to examine social and biological drivers of infection inequality. The overarching goal of this postdoctoral position is to advance the use of mathematical and statistical models