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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
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needed. Candidates with experience in designing and implementing climate model experiments are particularly encouraged to apply. Expertise in computer programming and high-performance computing is needed
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access to PLI's $9.6M GPU cluster (300 H100s), among the largest machine learning computer cluster in academia. In addition, PLI seed grants enable advances in AI-related research in the humanities, social
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- Interfacing machine learning with climate models Company: Princeton University Description: The Atmospheric and Oceanic Sciences Program at Princeton University, in association with NOAA's Geophysical Fluid
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Company: Princeton University Description: The Joseph Research Group is searching for postdoctoral or more senior research candidates interested in computer simulation studies of intracellular organization
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applicants from diverse backgrounds such as computer science, electrical and computer engineering, sociology, public policy, information science, communication, economics, political science, psychology
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using statistical software packages (preferably R) and econometrics. * Proficiency in web-based computer programming (online experimentation and surveys). Desired qualifications: * Relevant
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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
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- Interfacing machine learning with climate models Company: Princeton University Description: The Atmospheric and Oceanic Sciences Program at Princeton University, in association with NOAA's Geophysical Fluid