22 modelling-complexity-geocomputation Postdoctoral positions at University of Colorado
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national and international reputations for excellence in routine and complex ophthalmic care. We have invested heavily in tracking our clinical outcomes and we are proud that our clinicians perform
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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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national and international reputations for excellence in routine and complex ophthalmic care. We have invested heavily in tracking our clinical outcomes and we are proud that our clinicians perform
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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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throughout the institution. · Ability to interpret and master complex research protocol information from other scientist and independently develop complex research protocols. How to Apply: For full
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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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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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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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regulation, and/or genome editing technologies. · Proficiency with experimental design, data analysis, and interpretation of complex biological datasets. · Ability to work independently while