22 molecular-modeling-or-molecular-dynamic-simulation Postdoctoral positions at University of Colorado
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disease progression are known and only one is FDA approved. ADPKD has many molecular and cellular commonalities with cancer, in which targeting metabolism and immune cell function have shown tremendous
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conduct research focused on biochemical, cellular, and molecular mechanisms underlying human placental angiogenesis and development, with a primary focus on severe, early-onset fetal growth restriction
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trainees. Our research focuses on aging, anti-tumor immunity, and vesicle trafficking using established models, with strong translational relevance. We welcome candidates with a background in cell biology or
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of Colorado. Fellows will conduct mechanistic and translational research in preclinical models of Chimeric Antigen Receptor (CAR) T cells. Key responsibility is to lead a research project studying CAR T cell
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planned to last 2 years, with the option to extend. In the Burger lab, we are interested in early vertebrate development of the axial and lateral plate mesoderm using zebrafish and mice as models, as
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will conduct research focused on biochemical, cellular, and molecular mechanisms underlying gynecologic cancer progression and therapy resistance. The primary focus of experiments will include, but
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project at the intersection of RNA biology, cancer biology, and virology. Experience in molecular biology, data analysis, and tissue culture is required. The Wang laboratory is currently studying The role
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sgRNA design. · Perform molecular and cellular assays to investigate gene regulation, extracellular vesicle signaling, and therapeutic efficacy. · Analyze and interpret data, prepare
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animals and extensive development and use of cutting-edge flow cytometry, molecular biology and cell biology assays on rare bone marrow-derived hematopoietic populations. Specific duties include: Design
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advanced computational methods to analyze and integrate single-cell multiomics datasets to decipher cellular and molecular mechanisms for disease heterogeneity. · Actively identify new opportunities