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#:37287 Job Summary: The Mitchell Lab at the University of Colorado Denver l Anschutz Medical Campus welcomes applications for a Postdoctoral Fellow. The Mitchell Lab focuses on advancing human-centered
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transcription factors and chromatin structure Prior experience with analyses of “omics” data. Knowledge, Skills and Abilities: Documented training and experience in molecular/cell biology and/or animal models
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– Requisition #:37228 Job Summary: This position is responsible for conducting mechanistic studies into the impact of SMARCB1 structure/function on iPSC differentiation and defining how SMARCB1 loss and BMI1
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. This position will involve advanced structural methods—particularly NMR spectroscopy and Cryo-EM—to explore protein structure, dynamics, and function in the context of pathogenic interactions. Facilities Our lab
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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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and Performance of Research Experiments (75% of Time Spent) Mechanism based discovery of cancer therapeutics. Characterization of metabolic processes of leukemia stem cells. Use of animal model systems
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determining fetal growth and long-term health. The research group employs physiological, molecular and translational approaches, and utilizes a wide variety of model systems including primary human trophoblast
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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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arthritis in an animal model. Additionally, the work will induce how bacteria-produced metabolites trigger pathogenic autoantibodies. S/He will be a valued contributor to a multi-disciplinary team with
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. Use of animal model systems to study leukemia pathogenesis. Analysis and Publication of Research Data (20% of Time Spent) Mentoring of students and technical staff (5% of Time Spent) Prepare data and