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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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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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alone ––without a deep understanding of Ecology or Evolutionary Biology would in principle not be enough for this position. Fluency in data analysis in R, and strong experimental skills are essential
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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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policy, urban planning, data science, environmental science, or a related field. • Strong quantitative skills in applied economic analysis (e.g., causal inference, econometrics, spatial equilibrium
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, plan, and organize the annual Black Feminist Theory Summer Institute (BFTSI) at Duke University, and 2. to build and implement enduring networks and scholarly programming to keep BFTSI cohorts connected
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new NIH-funded Center for Excellence in Multiscale Immune Systems Modeling. This position focuses on leveraging and developing new equation learning methods, such as Physics-Informed Neural Networks
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mapping the critical gene and cellular networks by which the Xist lncRNA ribonucleoprotein particles (RNPs) promote autoimmune diseases (see Dou et al., Cell 2024 , for more background). This work will