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: Federally sponsored research in predictive intelligent networking Position expected to continue until March 1, 2027. Must be eligible to work in the United States on a full time basis for any employer
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condition, including technical research as needed Dialog with curators and collection managers about treatment choices Carry out minor and complex single-item treatment and housing for collection items
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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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groups, photovoice). Skilled in qualitative data analysis and community-based approaches. Demonstrated commitment and ability to collaborate across disciplines to address complex challenges. Strong