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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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. Research topics include analysis and astrophysical interpretation of LIGO-Virgo-KAGRA data, forecasting and statistical methods development for next-generation gravitational-wave detectors, and
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The Center for Statistics and Machine Learning (CSML) at Princeton University invites applications for Postdoctoral Research Associates position. Appointments are for one year with the possibility
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-computer science, statistics, and/or machine learning with applications relevant to genomics -population genetics / genomics
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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
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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
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job posting. The Postdoctoral Research Associates will be appointed through the Center for Statistics and Machine Learning with the possibility for affiliation with other academic departments and/or
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Postdoctoral Research Associates in a parallel job posting. The Postdoctoral Research Associates will be appointed through the Center for Statistics and Machine Learning with the possibility for affiliation with