4 condition-monitoring-machine-learning Postdoctoral positions at University of Washington
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, atmospheric signals), data fusion across sensing modalities, and development of scalable machine learning pipelines. Work will be entirely computational and based in Seattle, with no field deployment
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a novel multi-omics approach that integrates high-throughput imaging and machine learning methods with CRISPR/Cas9 screens and saturation mutagenesis to answer central questions about the
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computer vision and machine learning approaches to integrate ground-based imagery, remote sensing data, and lidar data for high-resolution flood detection and mapping. Develop and calibrate hydraulic flood
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. The findings will also support improved treatment design and layout, real-time decision-making during wildfire incidents, and the adaptive management and monitoring of fuel treatment investments