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eager to apply advanced epidemiologic and biostatistical methods to complex, multi-level data. The Postdoctoral Associate will train under the primary mentorship of Dr. Tomi Akinyemiju , with
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-derived organoids with functional genomics, multi-omics profiling, high-content imaging, artificial intelligence, and computational biology, we seek to develop innovative approaches for disease
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researchers while collaborating across a multi-institutional research network. Choose Duke. Join a nationally recognized research environment committed to innovation, collaboration, diversity, equity, and
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metabolism in preterm infants. • Design, perform, and interpret experiments using mouse models, molecular, microbiological, immunological, and multi-omic approaches. • Generate, analyze, and
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metabolism in preterm infants. • Design, perform, and interpret experiments using mouse models, molecular, microbiological, immunological, and multi-omic approaches. • Generate, analyze, and
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, morphological, and clinically relevant biomarkers to support multi-institutional NIH-funded research and clinical trial activities. Ensure robust, scalable, and reproducible computational workflows. Develop
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their pathological roles in aging, regeneration, and degenerative disorders. Epigenomics, genome organization, and single-cell multi-omics technologies. The postdoctoral fellow will develop and apply
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organization, and single-cell multi-omics technologies The postdoctoral fellow will develop and apply cutting-edge single-cell, multi-omic, and perturbation approaches to study the fundamental mechanisms of
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Institute Center for Prostate and Urologic Cancers is a multi-investigator translational research laboratory focused on molecular mechanisms underlying the evolution of prostate cancer progression
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to research the mechanisms of, and interventions for, immuno-senescence and aging in lung transplantation using high-throughput multi-‘omic approaches, primary cell culture systems, and animal models