19 civil-engineering-soil-structure-interaction Postdoctoral positions at University of Colorado
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, with a strong emphasis on deployment in real-world clinical environments. We study how clinicians interact with technology and develop tools that are practical, intuitive, and aligned with clinical needs
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-adipocyte interactions and inflammation in the tumor microenvironment. The post-doctoral fellow will be supported through an already funded grant mechanism. Successful applicants will need to demonstrate a
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Generation of viral constructs o iPSC technology and cell differentiation · Relevant previous post-doctoral experience (for applicants with a previous postdoctoral fellowship) · Relevant
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well as associated structural birth defects, such as spina bifida, or defects affecting the heart/blood/bone/kidney. We are further interested in how the axial mesoderm develops into the intervertebral discs, and
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of Colorado School of Medicine. The successful candidate will have the opportunity to study how autoimmune B cells develop from interactions with bacteria at the intestinal surface as it relates to rheumatoid
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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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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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project at the intersection of RNA biology, cancer biology, and virology. Experience in molecular biology, data analysis, and tissue culture is required. The Wang laboratory is currently studying The role
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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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demonstrated by publications in peer-reviewed journals. Preferred Qualifications: · Prior postdoctoral training experience (1–4 years preferred). · Expertise in CRISPR-Cas9 technology, including