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model output available to a diverse audience. Candidates must have a PhD in computer science, environmental and physical sciences, or a closely related field. The following attributes are desirable: a
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Faculty of the Department of Computer Science. The desired start date is Spring 2025. Appointments are for one year with the possibility of renewal pending satisfactory performance and continued funding
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Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning
The Atmospheric and Oceanic Sciences Program at Princeton University, in association with NOAA's Geophysical Fluid Dynamics Laboratory (GFDL), seeks a postdoctoral or more senior research scientist to develop hybrid models for sea ice that combine coupled climate models and machine learning. Our...
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integrates basic research, applied research, and societal engagement, enabling distinctive impact, both academic and societal. In this context, we welcome applicants from diverse backgrounds such as computer science
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demonstrated through at least one first-author publication: computational biology/bioinformatics, cheminformatics, analytical chemistry/mass spectrometry/metabolomics, or machine learning/computer science
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of tools and public goods. Requirements Applicants must have (or expect to have at time of appointment) a PhD in the social sciences, statistics, computer science, or related fields, and their interests must