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Simulation, turbulence closure methods, and/or atmospheric or oceanic circulation/climate models; and c) experience, or demonstrated interest, in machine learning. Candidates must have a Ph.D. or expect to
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uncertainty quantification to improve network robustness. You will design, test, and refine novel methods aimed at understanding the spatial and topological properties of infrastructure networks, with
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experiments and methods. Additional expertise in plasma, plasma-materials interactions, and/or ALE is of significant value. Experience with the design, construction, operation, and maintenance of UHV
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. The candidate's work may use empirical or theoretical methods to address important policy questions. The position provides an outstanding opportunity for independent research as well as opportunities
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to participate in projects that research and refine quantitative methodology for political science. The postdoc will work on a variety of projects, which may include methods for large language models, the impact
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. Research topics include analysis and astrophysical interpretation of LIGO-Virgo-KAGRA data, forecasting and statistical methods development for next-generation gravitational-wave detectors, and
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., or equivalent is required. Applicants should have training and a significant track record in one or more of the following areas: -AI, deep learning methods -atmospheric, climate, and/or weather modeling
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applied to compound hazard analysis including AI methods, and a strong commitment to original as well as interdisciplinary research are encouraged to apply. Interested candidates should submit
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experience with both analytic methods and scientific computing. *CV, including complete list of publications. We are seeking to recruit from as diverse a pool of talent as possible, and endeavor to preserve
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The Webb Group (Chemical and Biological Engineering) has an opening for a postdoctoral or more senior researcher. The researcher will perform research related to advancements in methods and