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nutrient cycling. This position offers a unique opportunity to investigate how soil microorganisms contribute to soil structure, fertility, and ecosystem functions in both natural and managed ecosystems
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highly skilled and motivated Postodoctoral Scientist with advanced expertise in isotope-enabled ecohydrological modeling. We are looking for an early career scientist who is passionate about unraveling the
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to soil structure, fertility, and ecosystem functions in both natural and managed ecosystems. The postdoctoral researcher will contribute to the investigation of several key questions related to soil health
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highly skilled and motivated Postodoctoral Scientist with advanced expertise in isotope-enabled ecohydrological modeling. We are looking for an early career scientist who is passionate about unraveling the
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(HGG) at the Department of Geoscience, we’re looking for a motivated postdoc for a 1-year postdoc position (with a possible extension for 1 more year) to advance groundwater modelling approaches as part
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properties in drylands worldwide and analyzing their spatial distribution. The research will utilize innovative remote sensing techniques, advanced modeling frameworks, and cutting-edge datasets to enhance our
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Environmental Sciences in the College of Science, at the University of Texas at Arlington, invites applications for a Postdoctoral Research Associate position in air quality modeling and forecasting of extreme
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Responsibilities: Performing advanced analyses and modeling of neuroimaging and behavioral data. Preparing manuscripts for publication. Overseeing neuroimaging data. Collaborating on the development and execution
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innovative remote sensing techniques, advanced modeling frameworks, and cutting-edge datasets to enhance our understanding of the spatial dynamics of these critical chemical properties in global dryland
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, optical) to produce soil moisture maps. Designing and implementing deep learning pipelines for super-resolution of remote sensing data. Applying explainable AI (e.g., Shapley values) to interpret model