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will develop novel statistical and machine learning methods for any of the following: multi-omics data (such as bulk and large-scale single-cell RNA sequencing data, spatial transcriptomics, bulk and
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, including development of new computational tools for processing large-scale biospecimen data Creation of novel machine learning frameworks for automated scientific analysis and discovery Design and
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Program, the Nancy Grace Roman Space Telescope, the Rubin Observatory LSST, and the Simons Observatory. The Duke Cosmology group currently consists of about ten PhD students and seven postdocs or research
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image analyses of anatomical data in a supportive and collaborative environment. Our goal is to advance bioelectronic medicines: electrical stimulation, block, and recording of peripheral autonomic nerves
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). The candidate will contribute to the design, development, and implementation of strategies to convert noisy tomographic data into high-resolution structures of challenging biomedical targets. Emphasis will be