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background in analyzing large astronomical datasets is essential, particularly in characterizing non-isotropic distributions and spatial-kinematic properties using Gaia and/or DESI data. Proficiency in
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will also be considered. Strong background in analyzing large astronomical datasets is essential, particularly in characterizing non-isotropic distributions and spatial-kinematic properties using Gaia
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the internal application process. Welcome to The Ohio State University's career site. We invite you to apply to positions of interest. In order to ensure your application is complete, you must complete
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foliar fungicide studies in soybeans. Develop and apply spatial models to analyze the distribution and spread of soybean pathogens in Ohio, leveraging open-access tools like R and QGIS to visualize and