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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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society by engaging in excellent teaching at the undergraduate and graduate levels, supporting and enhancing learning for students from diverse backgrounds. CSS is among the largest computer science
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programs, supervise graduate students, engage in excellent teaching at the undergraduate and graduate levels, and to support and enhance learning for students from diverse backgrounds. CSS is among
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position is on a 9-month service period with an anticipated start date of Sept 16, 2025. This position is aimed at recruiting an exceptional candidate in the field of physics-based Machine Learning
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treatments using machine learning, R/Python and Google Earth Engine. Selected candidate will use cartographic principles and conventions sufficient to create maps for external and internal use that display
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expertise in AI-based optimization and machine learning applied to biological systems. - Experience with Agent-based modeling, and PK/PD modeling - Experience working with diverse, multidisciplinary research
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) level. This position is specifically focused on teaching courses in data-driven engineering, machine learning, dynamics, and control. This position is on a 9-month service period with an anticipated start
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of the following areas of interest: quantum control, machine learning to optimize QIST systems, quantum machine learning, and quantum mechanical/acoustic systems. The UW Mechanical Engineering Department has
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-graduate courses in Artificial Intelligence, Machine Learning, and related topics, with an emphasis on curriculum development, students’ success, and mentoring teaching assistants ● Providing faculty
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conditions, and brain tissue microstructure and functioning. The successful candidate will be working within a multi-disciplinary team of MRI physicists, computer scientists, radiologists, neuroscientists, and