Position Summary All data has shape, and embedded within all shapes is data that can be extracted. Shapes can be obvious and apparent to the eye, like the morphology of plants. Or, shapes can be more abstract, like that of a gene expression network. We are seeking an individual passionate about applying Topological Data Analysis (TDA), a mathematical method that measures shape, to the plant sciences. The successful candidate will be a pioneer, applying state-of-the-art data science techniques and mathematical approaches to the analysis of intensive datasets and predictive modeling. The project is based at Michigan State University between the laboratories of Professors Beronda Montgomery, Arjun Krishnan, Elizabeth Munch, and Dan Chitwood together with collaborator Aman H
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