58 multiple-sequence-alignment research jobs at University of Washington in United States
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mechanisms and disease outcomes. This work involves a multidisciplinary approach, including next-generation sequencing, bacterial genetics, host genetics and metabolomics. Job Description Primary Duties
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, experimental design and setup, data acquisition and data analysis. Experience with processing and analysis of bulk RNA and single-cell sequencing data and epigenetic sequencing data. Motivated for learning new
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interpret large complex data sets, such as genome sequences, microarray gene expression studies, human genetic studies, model organism studies, and to communicate data in a clear, concise manner. Expertise in
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genome and exome sequencing, short- and long-read RNA sequencing, long-read genome sequencing, and epigenomics data. This role will support the execution of bioinformatics workflows and pipelines
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and regulation of NK cell anti-tumor function with a focus on acute myeloid leukemia and myelodysplastic syndromes. We integrate single-cell sequencing approaches, clinical samples, and experimental
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innovative science and hands-on fishing experience to improve tuna management. Specifically, the successful candidate will re-sequence tuna genomes to improve estimates of stock structure, reduce the
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management. Specifically, the successful candidate will re-sequence tuna genomes to improve estimates of stock structure, reduce the proportion of individuals that cannot be assigned to population, and develop
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control) due to multiple interacting disturbances such as wildfires, drought, and insect outbreaks. The researcher will apply and adapt a spatially explicit multi-hazard risk assessment framework developed
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accepting applications for multiple full-time fellowship positions based in Seattle. These fellowships offer an exceptional opportunity to contribute to cutting-edge global health research in a dynamic
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of the Phase 1 Senior Research Data Manager, this position facilitates investigator-initiated and pharmaceutical-sponsored clinical trials and implementing multiple research, data and administrative projects