80 advance-soil-structure-modeling Postdoctoral research jobs at University of Washington
Sort by
Refine Your Search
-
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
-
urban structure metrics since 2000. 2. Assess the Effects of 3-D Urban Structure on Extreme Humid Heat: Analyze variations in humid heat using Landsat thermal bands, MODIS, and humidity data, modeling
-
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
-
genetic mutations. We aim to advance our understanding of these diseases and to develop and translate therapeutic strategies for future clinical practice. The applicant is expected to work on mouse models
-
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
-
resolution. The studies will include using cell culture and organoid models to provide mechanistic insight of murine models of lung injury. We seek candidates with experience in murine tissue collection, cell
-
to join our interdisciplinary research group. The successful candidate will conduct original research in biophysical modeling and live-cell fluorescence microscopy, focusing on the actin cytoskeleton’s role
-
signaling pathways that promote lung injury resolution. The studies will include using cell culture and organoid models to provide mechanistic insight of murine models of lung injury. We seek candidates with
-
diverse cardiovascular cell types from iPSCs, enabling advanced cardiovascular disease modeling and cell therapy applications (Nature Cardiovascular Research 2023; Circulation 2023; Circulation Research
-
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