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for Magnetic Resonance and Technical University of Denmark. This work is part of a long-standing research program at Duke for rigorous computational modeling and experimental characterization of both invasive
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productivity, labor productivity, and GDP that are driven by either climate change or air quality changes. Work will include use of output from global climate models (CMIP-class models) as well as Integrated
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values. Essential Physical Job Functions: Certain jobs at Duke University and Duke University Health System may include essential job functions that require specific physical and/or mental abilities
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Associate. Occupational Summary Responsibilities will include developing next-generation genome engineering technologies for gene and cell therapy applications as well as functional genomics. In particular
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, FACS/flow cytometry, and single cell multiomics among other assays to resolve the role of lncRNAs, such as Xist, in establishing, maintaining, and disrupting immune tolerance. The successful candidate
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manipulation, viral gene therapy, pharmacological studies, gene editing, and physiological measurements of cardiac electrical and mechanical function at a variety of spatial scales from a single cell to whole
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associate will also provide leadership in coordinating different projects and advising more junior lab members. The current and prior work of the lab include deep learning algorithms for detection
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to characterize the chemical speciation and leaching potential of target metals from candidate feedstocks. The Postdoctoral Associate should be able to work effectively with collaborators from diverse disciplinary
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methodologies and international collaborations. Developing novel computational tools that use recent advances in artificial intelligence to automate and enhance bioinformatic analyses. These projects
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single-cell multi-omics data, or genetic variants and functional genomics data), and apply the computational methods to integrative genomics data to understand tumor microenvironment, brain science, and