18 structural-health-monitoring Postdoctoral research jobs at University of Washington
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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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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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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
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the start of the appointment and no more than four total years of postdoctoral experience. Proficiency in spatial analysis, with working knowledge of GIS concepts and tools (e.g., spatial data structures
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uterus’s electrical maturation and mechanical changes. The goal of the lab is to develop tools to monitor pregnancy and labor progression and assess the effectiveness of treatment strategies to manage labor
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Position Summary This position will primarily support the implementation of a newly funded National Institute of Mental Health R01 grant focused on optimizing a digital chatbot intervention for