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Field
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, education and wider student experience, but also on our keen sense of community and of inspiring others to achieve their potential. Our Purpose and Values We want our University to be a place where people can
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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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remotely-sensed data into models and decision support frameworks. Explore visualization and communication mechanisms that enhance utility of information for a diverse stakeholder group including producers
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quantum dot films engineered at the atomic as well as at the supra-nanocrystalline level to address applications related to safety and security, remote sensing, environmental monitoring, thermal imaging etc
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(remotely and in-person) on microwave experiments. Minimum Qualifications: Ph.D. in Physics or related field, strong research experience in 2D electronic systems, some nanofabrication experience. Preferred
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and satellite-based remote sensing data using High-Performance Computing at LRZ Publication of the results in scientific journals Assistance in teaching REQUIREMENTS: An above-average degree in