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of pulmonary fibrosis using animal and primary cell culture models, single-cell, and spatial transcriptomics approaches. The successful candidate will be expected to build a publication record in high-profile
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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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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