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Field
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biodiversity datasets, climate time series, and long-term satellite observations to detect ecosystem change, disturbance, resilience, and early warning signals under ongoing climate change. The postdoctoral
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Job Description St. Jude is seeking outstanding candidates for postdoctoral fellowship positions in the Childhood Hematological Malignancies Training Program. This prestigious, NIH-sponsored T32
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unsupervised techniques, time-series modeling, and clustering algorithms. The candidate is expected to lead an effort to prepare generalized ML techniques for data quality monitoring for tasks across multiple
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by combining psychological profiling, biological lab data, physiological time series, and sensor data. The postdoc will play a leading role in developing and implementing predictive algorithms designed
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studies Monte Carlo simulation and/or statistical software or package development (e.g., R, Stata) Multilevel modeling (MLM), difference-in-differences (DID), or comparative interrupted time series (CITS
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plan a series of public-facing events and exhibits. A graduate student assistant will be recruited and overseen by the postdoctoral scholar to serve as a copyeditor, keep track of permissions for images
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Classification Title: Postdoctoral Associate Classification Minimum Requirements: The appointee shall have received the doctorate in a field appropriate to the assigned duties and responsibilities
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change, climate change attitudes, and risk under environmental heat stress by combining psychological profiling, biological lab data, physiological time series, and sensor data. The postdoc will play a
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for continuous and campaign-style recordings; perform time-series and spectral analyses. Integrate seismic signals with tides, water-level anomalies, and wave forcing; evaluate controls of sediment properties
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Princeton University's Program on Science and Global Security (SGS), based in the School of Public and International Affairs, is seeking a postdoctoral research associate to advance our work