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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 of the mass
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of Medicine). This interdisciplinary collaboration provides an opportunity to work across departments/schools and contribute to advancing the early detection of Alzheimer's disease through innovative
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. The Scholar will work closely with Dr. Kate Hoffman on a federally funded project focused on residential contaminant exposures during pregnancy and early life and their impact on childhood immune outcomes
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/bioinformatics, and data science. Work Performed · Work in highly collaborative inter-disciplinary environment with clinicians, econometricians, statisticians, and data scientists · Lead statistical analysis
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including but not limited to microbial ecology, biochemistry, genomics, biostatistics, molecular biology, microbiology, evolutionary biology. Familiarity with metagenomics data analysis, microbial
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conditions like juvenile dermatomyositis (JDM). Specifically, we study the impact of type I interferons, which are highly upregulated in patients with JDM. We aim to use myobundles in combination with
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the Interpretable Machine Learning Lab (https://users.cs.duke.edu/~cynthia/home.html ) for a scientific developer to work in collaboration with other researchers on machine learning tools that help humans make better
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. The Yang Lab at Duke University is seeking a motivated postdoctoral fellow to carry on exciting projects focusing on membrane transport biology. The postdoc will work in a dynamic, interdisciplinary
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analysis tools Experience in machining learning methods in omics analysis Experience with high-performance computing and cloud-based analysis platform Previous experience in grant writing and manuscript
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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