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Post-Doctoral Fellow - 37287 Faculty Description University of Colorado Anschutz Medical Campus Department: Biomedical Informatics Job Title: Post Doctoral Fellow Position #00837148: – Requisition
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Qualifications: Previous experience in vision science research Experience with cell, developmental, and molecular biology techniques Training in the use of animal models of visual impairment Training in ocular
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with induced pluripotent cell differentiation and organoid development Experience in vivo modeling of tumors Experience with chromatin assays such as ChIP-Seq Knowledge, Skills and Abilities: Proficiency
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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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. This individual will conduct interdisciplinary and highly collaborative research in in vitro 3D modeling to understand how the early placenta develops. The researcher will work primarily in tissue culture to model
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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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internationally renowned program that provides comprehensive resources for the diagnosis and therapy of diseases of the digestive tract, pancreas and liver. There is no direct patient care and no patient contact
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response of the lung vasculature to hypoxia and other injuries. Specifically, the post-doctoral fellow will perform mechanistic studies in hypoxia-induced pulmonary hypertension animal models as well as in
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digital health. We are seeking a highly motivated Postdoctoral Fellow to oversee the research on hearing aid service delivery model and contribute to several projects on hearing aids specifically examining
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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