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on identifying and understanding evolutionary changes in developmental gene regulatory networks of sea urchins. Projects focus on the genetic and molecular basis for changes embryonic patterning and cell fate
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northern Kenya. Population Ecology Aging, and Health Network (PECAHN): This postdoc will work with the PECAHN group of research sites, part of the Duke University Population Research Institute, coordinating
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approaches to understand the interconnections between nutrition, health, food systems, and society. Our lab has pioneered genomics techniques that objectively track dietary intake across hundreds of plant and
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and immunoprecipitations RT-PCR and RNA analyses Cell transfections and selections RNA-seq and sequencing data analysis RNA modification profiling Lead one or more research projects investigating RNA
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networks and representations is available in the Mnemology Lab, which is co-directed by Dr. Roberto Cabeza (Duke University) and Dr. Simon Davis (Indiana University). The Postdoctoral Associate will work
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year. The anticipated starting date is August 2026. Overview. The postdoctoral associate is expected to engage in research at the interface of mathematics, data analysis, and life sciences. Possible
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for control and analysis of instruments, applying these systems to the study of human diseases, and acquiring and analyzing clinical data sets. Programming skills should include MATLAB, Labview, Python and/or C
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be accepted after 2025/11/30 11:59PM US Eastern Time. Position Description Postdoc position available at Duke University studying archaeal transcription regulatory networks A postdoctoral position is
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candidate will have experience or basic understanding of several of the following areas: high-dimensional data analysis, genome-scale analysis, analysis of genetic data, epidemiology, translational research
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principle not be enough for this position. Fluency in data analysis in R, and strong experimental skills are essential. Experience with field observational studies, handling or large datasets and mathematical