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available in the Center for the Chemistry of Molecularly Optimized Networks (MONET) at Duke University. The position will support the development and use of data tools for polymer network chemistry, lead and
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research lab is at the forefront of innovation in synthetic organic and medicinal chemistry and chemical biology, with a focus on natural product synthesis and structure-based ligand design. We are dedicated
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scientific discoveries to improve human health locally and around the globe. Composed of more than 2,500 faculty physicians and researchers, more than 1,300 students, and more than 6,000 staff, the Duke
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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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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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Overview We seek a passionate and skilled Postdoctoral Associate to apply their strong computation skills to cutting edge research in chemoproteomics, chemical biology, and related areas. The interested