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simulations and multiscale spatial-omics data. • Integrate uncertainty quantification into scientific machine learning workflows and optimize the design of computational (ABM) and wet-lab experiments
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chemoproteomics, chemical biology, and related areas. The interested candidate will work directly with experimental scientists within a wet lab setting to facilitate the management, analysis, and visualization
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interactive team environment. Must have a desire to design, execute, analyze, archive, review wet lab experiments in a manner that is scientifically justifiable, reliable and understandable to others under
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uncertainty quantification into scientific machine learning workflows and optimize the design of computational (ABM) and wet-lab experiments. • Collaborate with mathematical modelers and experimentalists in
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consist of wet lab, mouse models, and translational research experiments involving patient samples. Postdocs in the Dou lab are also expected to assist with graduate student training and mentorship