116 optimization-nonlinear-functions-"Prof" Postdoctoral positions at University of Washington
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to decipher the molecular regulation of dendritic cell subsets, function, and differentiation using novel approaches, such as CRISPR Cas9, single-cell and tissue analyses. The work will contribute to our
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the University of Washington is seeking a postdoctoral scholar to perform research related to lung injury and resolution. The successful candidate will use cell-based and mouse cells/tissue to study macrophage
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, as well as fundamental and applied science, and will receive input from a range of stakeholders (e.g. NOAA, ICCAT, DFO). The PDRA will work within the Marine Ecology Research Lab, a large lab
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analysis; Biomarker identification through the use of machine learning approaches; and Multi-omics data integration with genomics, transcriptomics and methylomics data. Job Description Primary Duties
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commensurate with experience. The above statements are intended to describe the general nature and level of work performed by people assigned to this classification. They are not intended to be construed as an
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within the Department of Radiology. The candidate will have the opportunity to work on “big data” studies in health and diseases, including schizophrenia, psychosis, and Alzheimer’s disease. We collaborate
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, computational genomics, functional assays, and integrated data analysis. We are seeking a highly motivated Postdoctoral Researcher who shares our passion for solving foundational problems in human genetics and
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of developing computational tools to solve previously unattainable problems through creative use of big data in the biomedical and clinical research. Combining bioinformatics and experimental approaches
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and to provide standard care to research animals. Salary Range: Base pay is commensurate with experience. The above statements are intended to describe the general nature and level of work performed by
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to establish foundational models to predict the effects of potential drug candidates on cardiovascular diseases. By combining genome engineering, functional genomics, and tissue models, we aim to advance