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staff position within a Research Infrastructure? No Offer Description The laboratory of Prof. Dr. Mayana Zatz at the Human Genome and Stem Cell Research Center, Institute of Biosciences (USP), is offering
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-Calabuig et al., Cell Stem Cell 2023 ). Recently, we have developed EPI-Clone, a unique method to identify and characterize expanded stem cell clones independently of driver mutations and during
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from stem cell research to neurobiology, to circuit- and systems neuroscience. Our research applies various cutting-edge neurotechnology platforms, neuroimaging tools and sophisticated analysis
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seek to understand the genetic and epigenetic basis of organ regeneration and tumorigenesis. We study the properties of stem/progenitor cells in diverse epithelial tissues (with a primary focus on lung
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regeneration using human induced pluripotent stem cells derived cardiac cell types and engineered tissue models. As a team member, you will be responsible for conducting experiments and collecting data. You will
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and how alloimmunity is suppressed in patients receiving donor hematopoietic stem cells. In addition, the lab is using novel, spatial omics approaches to more comprehensively understand transplant
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human induced pluripotent stem cell (hiPSC)-derived cardiomyocyte subtypes and autonomic neurons, as well as 3D tissues such as cardiac assembloids. The successful candidate will play a pivotal role in
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Position Overview School / Campus / College: School of Medicine Organization: Obstetrics and Gynecology Title: Postdoctoral Scholar - Center for Stem Cell Genomics, Obstetrics and Gynecology
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(post-doc) at the Laboratory of Stem Cell Biology and Regenerative Medicine in the TEAM-NET project funded by the Foundation for Polish Science (FNP). The selected candidate will investigate the molecular
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Germany | 2 months ago
of Epigenetics and Stem Cells studies fundamental epigenetic mechanisms shaping development, evolution, and disease. We employ cutting-edge technologies — from single-cell multi-omics and deep learning to live