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, and candidate mechanisms associated with radiation-induced phenotypes. Model evaluation and generalization: Assess model robustness, uncertainty, and predictive performance across independent
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laboratory workflows. The position will focus on building the data resources, predictive models, and closed-loop decision frameworks needed to accelerate experimentation and advance next-generation
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, particularly at subseasonal and seasonal lead times. The successful candidate will lead simulations of convective systems using high-resolution regional and global models, evaluate model performance, and
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and Biogeochemical Process Group to work on multi-institution projects funded by the United States Department of Energy and related to its mission to enhance the predictive understanding of terrestrial