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significantly in size, funding, and scope, contributing to advances in emerging fields such as stem cell biology, RNA interference, and gene therapy. The mission of the Department of Pharmacology is to: Educate
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revitalization and transplantation. Work in the laboratory of Arun Sharma, PhD, focuses on applying human induced pluripotent stem cells (hiPSCs) to model cardiovascular diseases in vitro. The lab utilizes cutting
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., Alzheimer’s or Parkinson’s) and a track record of first author publications, a plus. Experience with the development and validation of advanced cellular models, such as induced pluripotent stem cell–derived
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from other funding agencies. The Department provides outstanding scientific platforms for research conducted in human subjects, non-human primates, rodent models, and human induced pluripotent stem cells
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pluripotent stem cells. Department faculty possess leading expertise in cutting-edge approaches ranging from multi-omics and big data analysis to imaging, electrophysiology, and tissue and whole organism
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, optogenetics, genome engineering, induced pluripotent stem cell differentiation to neurons/organoids, and in vitro and in vivo electrophysiological measurements. Our long-term scientific goal is to dissect
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tools to drive inducible pluripotent stem cell differentiation into all required cells of the liver, immune engineering to allow allogeneic cells to evade immune rejection, bioreactors to facilitate
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the world’s leading experts in nearly every area of health. We are home to five Nobel laureates who have advanced the understanding of cancer, neurodegenerative diseases, aging and stem cells. Pride Values UCSF
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: Engineering / Biomedical Appl Deadline: none (posted 2025/06/16) Position Description: Apply Position Description Chory Lab Seeking Postdoctoral Associate (Stem cell automation postdoc) This postdoctoral
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Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Job Description: Research work in molecular and cellular neuroscience/stem cell lab for disease modeling using patient