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Field
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profiling, and gnotobiotic mouse models to create predictions for which infants are most susceptible to sepsis. We are looking for an enthusiastic Postdoctoral Research Associate to join our team
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that incorporates a broad range of neutrino and dark-matter models, assessing their effects on large-scale-structure (LSS) statistics as measured by the power spectrum and bispectrum of galaxies or intensity maps
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to: i) lead the design and creation of an experimental setup to examine fluid-structure interactions between 3D-printed models of deep sea sponges and ii) lead the formulation and analysis of finite
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, including experimental work, data analysis, and model development. 10% effort will support dissemination of research findings, including publications and conference presentations. The remaining 5% effort will
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of singularities, optimal control, and applications to macroscopic models of traffic flow. Teaching may be required. Education and Experience: Applicants must have recently completed a Ph.D. and have exceptional
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mechanisms of various brain disorders using murine models and iPSC-derived human neurons. The applicant should have strong background in neuroscience and/or biomedical engineering or computer science
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a postdoctoral associate to develop methods and metrics for evaluating how consultation with large language models affects analytical work products and team interaction patterns in complex information
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immunohistochemistry techniques. Develop hypotheses and experimental plans for in vitro and in vivo models. Trouble shoot and customize experimental tools, generate clear and timely records of experimental work. Review
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https://microbiology-immunology.ecu.edu/ Advertising Department MICROBIOLOGY & IMMUNOLOGY Division ECU Health/BSOM Classification Title Postdoctoral Scholar Working Title Postdoctoral Scholar Number
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–pathogen interaction models, immunological assays (including cytokine analysis, flow cytometry, ELISA, Western blotting, and immune signaling analysis), and/or omics-based methodologies (such as