32 web-programmer-developer-"PhD-Jobs.NET" Postdoctoral positions at University of Washington
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. Individuals who join this lab will gain skills in advanced microscopy, cutting-edge genomics techniques, genome editing, patient-derived cancer models, and transgenic mouse development in a highly collaborative
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, the candidate will prepare manuscripts and presentations to disseminate research findings at national and international conferences, while also contributing to grant writing and the development of future research
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and to develop an independent research focus. Job Description Primary Duties & Responsibilities: Information on being a postdoc at WashU in St. Louis can be found at https://postdoc.wustl.edu
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of Computational Plasma Physics and Fusion Science. Our research group develops high-fidelity physics models, implements novel computational algorithms to solve the models, and applies these computational tools
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EV in vivo tracking studies, spatial transcriptomics, imaging mass-cytometry, micro-CT imaging and experimental fetal lung models to address key questions in lung development and repair. This position
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and hamster models. The projects in the lab include assessing the role of T and B cell immunity on virus infection and transmission, evaluating innovative virus vaccines, as well as developing assays
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. The Wattenberg Laboratory aims to develop new immune targeted therapies for the treatment of cancer. Our major research focus is on pancreatic ductal adenocarcinoma (PDA) immunobiology. Specifically, we aim
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. Develop novel single cell technologies to link cancer-stroma transcriptome within the metastatic tumor microenvironment. Working Conditions: This position works in a laboratory environment with potential
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the United States. The applicant will have access to extensive infrastructural and core facility support and professional development training for postdoctoral researchers via the Career Center, Teaching Center
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, 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