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models, and clinical cohorts to uncover mechanisms by which early-life gut microbial metabolism shapes host immunity. We welcome applicants with backgrounds in computational biology, molecular microbiology
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a strong background in measurement theory and statistics, demonstrating mastery in structural equation modeling and item response theory methods. As a key member of our research team, the successful
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, multilevel and multidimensional measure of structural racism. The ideal candidate should possess a strong background in measurement theory and statistics, demonstrating mastery in structural equation modeling
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, virus rescue, titration, and in vitro infection assays. · Conduct in vivo efficacy studies using orthotopic murine and patient-derived xenograft (PDX) models of pancreatic cancer. · Analyze
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translational animal models. A proven research ability in two or more of these areas is desirable: a) neuroscience research in ischemic brain injury, stroke, or peripheral nerve injury, b) stem cell or
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discovery, establishing in vitro and in vivo models, and designing new approaches for possible therapies. The emphasis of the lab is on the mechanistic target of rapamycin (mTOR) pathway and its role in
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sensitivities of various subtypes of SCLC. We utilize and develop both murine and human models of lung cancer to test our strategies. Our long-term goal is to develop novel therapeutic strategies
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in one or more of the following areas: algorithms, analytical derivation, data analysis, coding, or mathematical modeling. Strong programming skills are highly desired. The candidate should demonstrate
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of the retinal cells. The candidate will be expected to: conduct human imaging in healthy and diseased eyes, perform data processing, analysis and presentation, upgrade AO imagers, fabricate AO model eyes, and
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animal models of stress and substance-use disorders. We also use open-source technologies to further our research goals and hope to develop new ones to contribute to the community. Experience with mouse