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will contribute to projects investigating the genetic basis of starvation resistance and nutritional control of gene expression using genetic and functional genomic analysis. Research experience working
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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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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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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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candidates will possess excellent oral and written communication skills with the ability to work in a highly collaborative team environment. Be Bold. Position Description: HLA-E-VL9 antibody in gnotobiotic
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& Behavioral Sciences at Duke University School of Medicine. Our research combines laboratory behavioral pharmacology, ecological momentary assessment, and functional neuroimaging to examine neurobehavioral
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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