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the Zhivagui Lab. Our lab uses computational and experimental methods to determine mechanism-based biomarkers for exposure and risk stratification to advance the understanding of cancer causation and
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and model vadose fluid transport in the deep vadose zone (10s to >100 m depth) in California's Central Valley. The research will focus on the use of geophysical tools to parameterize and validate
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Remote Sensing; Machine Learning Models for Predicting Wildfire Spread; Wildfire Risk Assessment Through Multi-Modal Data Integration; Automated Vegetation and Fuel Load Mapping Using Computer Vision; AI
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, lithography) and synchrotron-based X-ray techniques. Other supporting characterization may be necessary, and the candidate will be expected to learn and perform the required techniques. The materials