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: navigation, memory, exploration, or the entorhinal-hippocampal circuit. Prior experience with rodent memory tasks. Experience with computational modeling. To Apply: Interested individuals should apply at https
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fellow to join the 3D Stem Cell Biology Research Lab (https://www.hashinolab.com ) and study normal and pathological development of the human inner ear using stem cell-derived organoids as a model system
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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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architecture design, simulations, and publicly available genomic datasets to develop new inference methods. The Postdoctoral Associate will conduct research related to creating or testing deep learning models
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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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or testing deep learning models for genomics, exploring new techniques related to spatial simulations, or other topics discussed with the PI. Core job duties include: (1) Designing, implementing, and
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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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building models for novel materials, including nickelate superconductors, Kagome materials, 2D magnets, and many others. The candidate will ideally also co-mentor undergraduate and graduate students in
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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