53 phd-rehabilitation-engineering-computer-science Postdoctoral positions at University of Washington
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driver's license is not required for this position. More About This Job Required Qualifications: PhD in immunology, molecular biology, microbiology, or a similar field. Have published one or more papers in
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what is stated in the Required Qualifications section. Skills: Computational Sciences, Computer Programming, Mathematics Questions For frequently asked questions about the application process, please
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the Required Qualifications section. Skills: Collaboration, Computational Biology, Data Analysis, Data Interpretations, Experimentation, Laboratory Operations, Laboratory Techniques, Researching, Results
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science, econometrics, and integrated assessment modeling to develop and implement a strategy for integrating health into the SSP narratives and quantifications. The ideal candidate is analytical, organized
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combines human samples, mouse models, and in vitro culture system, and leverages single-cell technology, bioinformatic analysis, and mechanistic interrogations to revolutionize our understanding of gut
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. Department of Labor prevailing wage determination. Qualifications Applicants must have a Ph.D. in Statistics, Computer Science, Economics, Sociology, or related field. Instructions Applicants should submit a
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Position Summary The Cognitive Technology Research Laboratory (CTRLab) in the Knight Alzheimer’s Disease Research Center at WashU in St. Louis is seeking a postdoctoral research associate to work in
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technologies in genomics and computational biology to investigate the development and function of mammalian brains in the context of human health and disease. Current areas of interest include applying single
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. Techniques include flow cytometry, immune cell transfers, cloning and molecular biology, biochemistry, cell/tissue culture, fluorescence and confocal microscopy, and analysis of RNAseq or other data sets
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the NeuroGenomics and Informatics Center at WashU. We are dedicated to generating and analyzing whole-genome sequencing data along with high-throughput, multi-dimensional 'omics' data to advance our understanding