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the Pacific Northwest and developing a time-dependent interseismic coupling model. This project is a component of an active research grant funded by the National Science Foundation for the Cascadia Region
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metastatic disease. To tackle these questions, we use cutting-edge technologies, including spatial transcriptomics, single-cell multi-omics, tumor immunology, and in vivo genetically engineered mouse models
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. The main thrust will be in the area of computational modeling and theory for crack path prediction. Required Qualifications: Ph.D. or equivalent degree in mathematical sciences or a closely related field
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predictive modeling approaches to understand corrosion mechanisms and coolant/fuel chemistry in extreme conditions. The successful candidate will oversee corrosion-focused projects sponsored by industry and/or
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interested in computational materials design and discovery. The successful candidate will develop new, openly accessible datasets and machine learning models for modeling redox-active solid-state materials
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mitochondrial dysfunction. Other projects may involve studying the impact of coinfection and lifelong persistent infection on immune and overall health in mouse and human models. Strong cellular immunology
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Position Details Position Information Internal Posting? Posting Number SP005014P Position Title Postdoctoral Research Associate, Statistical and Computational Modeling for Digital Twins Division
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operando experiments under electrical, thermal, or mechanical bias to capture real-time defect dynamics. Integrate multimodal datasets and collaborate with AI/ML teams for data fusion, physics-informed model
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dementias. We use a combination of iPSC-based systems and transgenic mouse models coupled with novel approaches including single-cell sequencing, CRISPRâ“Cas9 screening, and interactome profiling. The work
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Lab in the Department of Earth System Science at the University of California, Irvine seeks a Postdoctoral Scholar to lead an integrated remote sensing-modeling investigation of wildfire impacts and