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Classification Title: Postdoctoral Research Associate Classification Minimum Requirements: Ph.D. in Neurobiology, Stem Cell Biology, Biomedical Engineering, Cell Biology, Molecular Biology, or a
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Rutgers Cancer Institute - Cancer Metabolism and Immunology | New Brunswick, New Jersey | United States | about 16 hours ago
publications: Nature Communications: 2025 , 16:1762; 2024 , 15:627, 137; 2021 , 12:3371; 2017 , 8:1823; 2014 , 5:5218 Nature Metabolism: 2022 , 4:1830 Cell Stem Cell: 2023 , 30:1520 J Clin Invest: 2023 , 133
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seeking a postdoctoral fellow to study the cell fate decision mechanisms in hematopoietic stem and multipotent progenitor cells using primary mouse and human bone marrow cells and patient samples. We study
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: Laboratory research experience with hematopoietic stem cell biology, cardiovascular diseases, and immunology. Job Description: The Zhan Lab is seeking highly motivated individuals to join our research team
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group as a Postdoctoral Scholar. Our laboratory develops and applies multidisciplinary approaches, including single-molecule force spectroscopy, single-molecule fluorescence imaging, stem cell-derived
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, volumetric bioprinting (volumetric additive manufacturing; VAM), oxygen measurements, physiochemical biomaterial characterization, stem cell culture, isolation of human cells and fluids, multiplexed proteomics
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The In-Hyun Park Lab at Yale School of Medicine is seeking a Postdoctoral Associate to join our research team within the Department of Genetics and Neuroscience, and Yale Stem Cell Center. Our
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cell division counting in mice and humans to investigate the differentiation of individual stem and progenitor cells. In the longer term, our results will improve understanding of healthy hematopoieisis
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pathways that regulate hematopoiesis. Our current research focuses are: 1) Study of epigenetic modulation in hematopoietic stem cell differentiation using genome wide and single cell RNA seq analysis; 2
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the same genetic material generate markedly different cells, and how this information is encoded within the genome. We utilize stem cells and cancer model systems, though projects range across disciplines