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modeling, hydrological models, and/or climate models. While this topic is the primary focus of the position, the fellow will be encouraged to pursue novel research topics. The successful candidate will join
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pathophysiology of the inner ear using multiple genetic mouse models and a novel human stem cell-derived 3D inner ear organoid model. We study genetically-mediated hair cell and neuronal degeneration in these model
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strategies in preclinical models (Fang Y, et al., JCI 2021, Zhou Z., et al., Nature BME 2021, Tao Y, et al., Adv Sci 2024). Dr. Zhang’s lab has developed a number of technical platforms that facilitate
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. Multidisciplinary approaches including clinical neuroimaging and basic biomedical bench techniques will be used in human subjects and animal models, respectively. Qualification: The applicant will be working in a
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(ES) cells, patient-derived induced pluripotent stem (iPS) cells, mouse genetic models, and animal models of cardiomyopathy, heart failure and vascular disease. During past years, the lab has published
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translational focus, there will be opportunities to direct their research to direct patient applications and treatments. Candidates should have experience in in-vitro and mouse models (xenograft, GEMM, etc
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seizure models and cell cultures, primarily utilizing molecular and cell biology techniques. The Obeid lab investigates the mechanisms of seizure emergence and their effects on cognitive and behavioral
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(ES) cells, patient-derived induced pluripotent stem (iPS) cells, mouse genetic models, and animal models of cardiomyopathy, heart failure and vascular disease. During past years, the lab has published
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Qualifications Experience with machine learning and AI models. Ability to communicate clearly with colleagues, Data presentations Scientific publication experience Special Instructions Priority Application Review
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, 3D ex-vivo cell culturing models, and the implementation of unique genetically modified animal models. The Division provides a highly collaborative environment and the possibility to grow. An NIH