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Ph.D. in quantitative ecology, climate sciences, population biology, applied mathematics, statistics, or an equivalent discipline. Additional experience in climate, meteorological, or environmental data
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. Deike, Breaking wave statistics with a multilayer model, J. Fluid Mech. 968 [2023] A12). The projects have overlapping synergies, and the postdoctoral researchers will interact with graduate students
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safety, fairness, and alignment. Princeton Language and Intelligence Research Fellows are appointed through the Center for Statistics and Machine Learning. Fellows receive a competitive salary, benefits
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, Monte Carlo simulations, statistical mechanics, fluid mechanics, computer programming (e.g., C++, Python), polymer theory, molecular modeling (e.g., of proteins and nucleic acids), coarse-grain and
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are particularly interested in candidates with computational modeling and strong statistical skills. Other duties include contribution to other ongoing center projects, preparation of and participation in workshops
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of population genetic statistics for analyzing microbiome data. Additional responsibilities include maintain labs servers and training undergraduate and graduate students and postdocs in bioinformatics
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contact references for letters at a later stage). PREFERRED - Experience working with REDCap - Basic statistics training (e.g., ANOVA, t-tests, use of SPSS and R) - Experience designing research studies 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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econometrics or statistics. Previous experience is desirable with empirical research or comparable private-sector work, with preference given to these and related skill sets: coding (especially Stata and Python
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towards robustness and exploration. Experience with probability/statistics, calculus, machine learning, reinforcement learning. Be advised that you will be contacted only if there is further interest in