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knowledge gained from climate models to applied researchers and decision makers are encouraged to apply. A Ph.D. in physical geography, statistics/biostatistics, environmental, climate, atmospheric, physical
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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
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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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establishing and managing collaborative, multisite research projects; conducting advanced statistical analysis on complex data sets; disseminating research through presentations and journal publications; and
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The Department of Operations Research & Financial Engineering (ORFE) invites applications for a postdoctoral position broadly in statistics and machine learning. This position is supported through
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of cognitive psychology and neuroscience research methods, statistics, and experimental studies with human subjects. Prior research experience in the domain of sensorimotor adaptation would be preferred
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applicants with a strong background in comparative genomics/transcriptomics. 4) Dynamics of hummingbird-plant interactions. We seek applicants with a strong background in community ecology, statistical
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. Gabriel Vecchi's research group (https://vecchi.princeton.edu) The research will involve modeling and understanding multi-decadal to centennial changes in the statistics of tropical cyclones over the past
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applicants who advance discovery in their fields of scholarship using techniques from machine learning and statistics. Applicants may also make research advances in the machine learning and statistical