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-granulosa cell communication regulate folliculogenesis? This project focuses on understanding the actin- and microtubule-based structures that mediate granulosa cell-oocyte communication (See Doherty and
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the structural-property relationship in polymers through molecular engineering, structural engineering, and advanced characterization across scales. With these insights, we resolve conflicting design principles
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Details Position Description The Urbanization and Health Lab at the University of Washington invites applications for a one-year (potentially renewable for a second year) full time postdoctoral researcher
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innovative science and hands-on fishing experience to improve tuna management. Specifically, the successful candidate will re-sequence tuna genomes to improve estimates of stock structure, reduce the
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management. Specifically, the successful candidate will re-sequence tuna genomes to improve estimates of stock structure, reduce the proportion of individuals that cannot be assigned to population, and develop
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accumulation. The lab seeks to understand the structural-property relationship in polymers through molecular engineering, structural engineering, and advanced characterization across scales. With these insights
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Developing models to represent structure in networks using low dimensional manifolds Modeling demographic and health trends in low-resource settings Developing a decision-making framework for policy decisions
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progression. The models are informed by a variety of experimental data, utilize different model structures/modeling techniques, are often closed source or coded in proprietary software packages with poor
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synthesis procedures for the formation of porous materials and their organic linkers. Characterize structure and physical properties of materials and determine structure-property relationships with x-ray
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their degree in the near future) in Cancer Biology or a related field. Proficiency in experimental techniques such as cell/organoid culture, library construction, imaging and handling animal models. Experience