19 computational-modelling Postdoctoral positions at University of Colorado in United States
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predominantly utilizes murine and cell culture models of the disease and conducts mechanistic/basic as well as translational research. Key Responsibilities : · Utilize PKD mouse models to delineate disease
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to extracellular matrix, macrophages · Prior experience with: o Advanced cellular imaging techniques, including live-cell imaging o Coding/bioinformatics analyses o 3D and/or organoid models o
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listed in the job posting. Preferred Qualifications: • Experience with mouse models of human disease • Proven experience and familiarity with inflammation • Proven experience and familiarity with histone
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to implement advanced computational pipelines, including machine learning, deep learning, Bayesian inference, and probabilistic mixed membership modeling for innovative research. · Contribute
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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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Summary: The Burger laboratory in the Colorado Program for Musculoskeletal Research (CPMR), within the Department of Orthopedics, is seeking to fill the position of a Postdoctoral Fellow. This position is
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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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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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relevant biomedical science discipline Preferred Qualifications: Prior vision science research experience Prior experience with rodent model systems Experience with genetic techniques Knowledge, Skills, and