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of large strain (antigenic) diversity, network descriptions of strain structure, and implications for resilience to perturbations. We are also more generally interested in extensions of this work to other
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a related field, and should demonstrate strong expertise in at least two of the following areas: Large-deformation numerical modeling (e.g., Coupled Eulerian-Lagrangian (CEL), Material Point Method
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 19-May-25 Location: New York, NY Categories: Academic/Faculty Internal Number: 167923 Postdoctoral Researcher in Data
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experience in one or more of the following areas: Database systems and big data management Data visualization and visual analytics Machine learning and artificial intelligence Social Media and Hate Speech
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and CNN) for climate risk prediction. Improve data pipelines and model performance for large-scale environmental datasets. Develop AI-powered decision-support tools for cities and energy networks