40 advance-soil-structure-modelling Postdoctoral positions at University of Washington
Sort by
Refine Your Search
-
coarse- grained models of proteins within condensates). These topics share deep conceptual parallels. By advancing concepts in non-equilibrium statistical physics, the group aims to uncover the general
-
to advance precision medicine, we have made important contributions to a number of large-scale cancer genome studies, including TCGA, ICGC, CPTAC, PDXNet, and HTAN. We have also created various cancer and
-
interdisciplinary environment where world-class researchers with expertise in computing and software, biochemistry, genome sciences, biological structure, pharmacology, immunology and other basic science disciplines
-
experience in molecular and cellular neurobiology to study neuronal regeneration and preservation in retinal mouse models of injury and disease. This project will examine how cellular metabolism impacts
-
, the candidate will have the opportunity to engage in research using advanced immunologic techniques, including mouse and xenograft models, transgene delivery and/or gene editing, immunologic assays, and single
-
organoid culture, genetically engineered murine models, and human samples. The lab has successfully competed for various funding. The appointment is viewed as a training or transitional period preparatory to
-
Position Summary The Turner Lab at WashU in St. Louis focuses on advancing the emerging field of Precision Genomics, which we define as “determining all possible relevant genomic variation within
-
(including Crohn’s disease and ulcerative colitis) using molecular and cell biology, multi-omics technologies, murine models, and human tissues. We currently have three major focuses: 1) Innate lymphoid cells
-
Position Summary The Ornitz Lab at WashU Medicine is seeking a highly motivated postdoctoral researcher with experience working with mouse models of development and disease. Candidates will have the
-
, to define novel biomarkers, and to identify novel therapeutical targets. We have pioneered in the integration of genetics with omic data to identify proteomic signatures and develop novel predictive models