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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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of tools and public goods. Requirements Applicants must have (or expect to have) a PhD in the social sciences, statistics, computer science, or related fields, and their interests must fall at the technical
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letters) for at least 2 references (we will 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
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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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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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to distribute student information in a timely and accurate manner; manages the Study Abroad Fair, Passport Day, and other SAP program events; assists with providing reports, statistics, and analyzing study abroad
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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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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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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