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convolutional neural networks (CNNs), generative AI methods such as diffusion models, and interpretability techniques commonly applied in hydrology including SHAP or LIME for explaining outputs of forecasting
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carbonate chemistry studies, including both shipboard experience and experience working with in situ ocean acidification sensors. Excellent verbal and written communication skills, including experience
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mapping project involves acquisition of high-resolution modern satellite imagery and the application of deep convolutional neural networks (DCNN) for image analysis. Candidates for the position are expected
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teaching, presenting work at national and international meetings, and working with care providers and health care delivery networks to implement research in practice. Live in Austin a Vibrant, Lively