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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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, solving models, managing data sets, statistical analysis, economic analysis, and editing research papers. In addition to working closely with faculty, senior research specialists participate in the vibrant
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in computer science, statistics, data science, economics, and/or quantitative social science. The Eviction Lab at Princeton University is an interdisciplinary and multi-generational research team who
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to better understand the physical and statistical correlation between hurricanes and heatwaves and develop better ways to estimate their joint risk evolving with the changing climate. The Term
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in R for conducting multivariate statistics and deep learning analyses using discrete and continuous phenotypic data; Assist lab members on conducting Python-based Bayesian inference analysis
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The Center for Statistics and Machine Learning is hiring a Computational Research Analyst to perform research on aggregated decision-making through rule systems with includes research into electoral
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time scales. The core responsibilities of the Research Specialist will include: expand/develop code in R for conducting multivariate statistics and deep learning analyses using discrete and continuous
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the following qualifications: (a) strong statistical skills, including experience with large datasets of climate model simulations and observations, (b) a solid background in the climate and variability
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Company: Princeton University Description: The Center for Statistics and Machine Learning (CSML) at Princeton University invites applications for Postdoctoral Research Associates position. Appointments
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to centennial changes in the statistics of tropical cyclones over the past millennium, recent historical era and the coming centuries, using a combination of high-resolution climate modeling, machine learning