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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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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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to collaborate across disciplines to address complex challenges. Strong publication record commensurate with career stage. Excellent communication skills for both academic and community audiences. Enthusiasm
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to collaborate across disciplines to address complex challenges. Strong publication record commensurate with career stage. Excellent communication skills for both academic and community audiences. Enthusiasm
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skills. Preferred Qualifications Experience convening and leading a complex, multi-faceted research effort with multiple stakeholders. Experience with public presentations in a non-academic environment
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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
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effectively in groups and independently, sometimes in demanding conditions. Ability to manage complex systems. Professional demeanor and excellent written and verbal communication and interpersonal skills