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skills in R programming - Working knowledge of Python - Experience with basic analyses to characterize gut microbiomes, including diversity analysis, differential abundance analysis, modeling microbial and
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tissue culture, experimental virology, transcriptome analyses, and immunologic assays. Prior experience conducting relevant experiments using in vitro and in vivo models of infection, such as flow
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Strong knowledge of R Experience navigating Linux-based servers through the command-line interface Attention to detail and strong capacity for organization of tasks and workflows Ability to work
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● Ph.D. in Entomology, Biology, or a closely related field. ● Demonstrated expertise in insect taxonomy, phylogenetics. ● Fieldwork and collection-based experience. Preferred Qualifications ● Record
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induced pluripotent stem cells derived cardiac organoids for disease modeling and gene editing. This research aims to deepen our understanding of dystrophic cardiomyopathy and develop novel therapeutic
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Department Department Overview The School of Kinesiology focuses on the biological, developmental, social, and behavioral bases of physical activity, recreation, sport and human performance through its
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computational modeling of behavior to identify the underlying circuit computations. Current projects in our laboratory emphasize task-structured behavior assays, including set shifting, reversal learning
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project that aims to develop new tools to gauge retinal health and disease using next-generation CRISPR-based tools. The ideal candidate who fills this position will have a consistent track record of
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year depending on satisfactory performance and funding availability. Starting Date: Negotiable. Position will remain open until filled. Annual Salary: Based on NIH NRSA postdoctoral stipend levels
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advance X-ray investigations of solar flares. Work entails both hardware-based and analysis-based studies of solar hard X-rays. Instrumentation work includes testing of X-ray detectors and telescope