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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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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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. 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
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) structure/function and defining how CAR structure impacts brain tumor response and resistance. The postdoctoral fellow will conduct experiments and assist with project planning and data interpretation, as
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populations and synaptic inputs Large-scale extracellular electrophysiology (Neuropixels) Biophysical modeling and construction of ML-based models Statistical analysis of single-cell and population-level
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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