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of repeating earthquakes, swarms, and slow slip events; (2) precisely locate seismic and aseismic slip on the plate interface and characterize their stress drop and slip spectra; (3) quantify the spatial and
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are broad, varied, and frequently interdisciplinary in nature, including mathematical biology, mathematical geosciences, applied partial differential equations, environmental and spatial statistics
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machine learning (ML)) and emerging data types (electronic health records (EHR), biobanks and disease registries, and next-generation genomics including single-cell and spatial omics); communicates clearly
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to cutting-edge problems in cancer genomics, transcriptomics, spatial transcriptomics, and large-scale bioinformatics. This role focuses on developing and applying AI and deep learning techniques for analyzing
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spatial resolution, a key challenge of the position will be translating this synthesis into parameters suitable for modeling ancient agricultural production. The focus is on assessing changes in growing
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) Development of state-of-the-art database and analysis platforms as part of data science, utilizing diverse datasets related to earthquakes and volcanoes across broad spatial and temporal scales. These datasets
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highly motivated Postdoctoral Scholar to work at the interface of fire ecology, forest dynamics, and ecosystem modeling as part of the Western Fire and Forest Resilience Collaborative (WFFRC; https
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, providing Fellows with resources and networks to launch impactful careers. To learn more about the SCALES Postdoctoral Fellowship Program, visit our program page: https://climate.duke.edu/what-were-doing
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the spatial and temporal distribution of lattice strain under realistic operating conditions. This can be achieved usingX-ray Diffraction Microscopy in the unique set-up at ID01.. This project will provide
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includes research encompassing experimental and theoretical approaches at a wide variety of temporal and spatial scales, i.e. from molecules and microorganisms to patterns and processes occurring