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Analysis and Research Group (EPAR) Position Details Position Description The Daniel J. Evans School of Public Policy & Governance is a nationally top ranked public policy school, serving nearly 500 students
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, multispectral and infrared imaging, spectroscopy, image processing, computational analysis, and clinical investigation to develop technologies that can improve diagnostic accuracy and reduce disparities in care
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other scientists and clinicians inside and outside the University of Washington who have ongoing collaborations with the Risques Lab. General Duties: Perform duplex sequencing analysis of samples captured
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for precision prevention. Develop and execute studies from literature review and hypothesis formulation through study design, protocol development, analysis, interpretation, and dissemination. Apply rigorous and
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the job posting. Work Experience: No additional work experience unless stated elsewhere in the job posting. Skills: Collaboration, Data Analysis, Data Interpretations, Experimentation, Laboratory Operations
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patient care. This is a highly applied computational research role, with opportunity to create meaningful clinical impact! General Duties: Develop AI/ML models for analysis of clinical single-cell data Use
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unless stated elsewhere in the job posting. Work Experience: No additional work experience unless stated elsewhere in the job posting. Skills: Collaboration, Data Analysis, Data Interpretations
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independent observations and diagnose performance issues. Develop and maintain scientific software for modeling, assimilation, analysis, visualization, and reproducible computational workflows. Collaborate
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Researcher, you will gain extensive hands-on training in cryo-EM sample preparation and data analysis, heterogeneity analysis tools, mass spectrometry, membrane biology, biochemistry, and cellular assays
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cytometry, and microscopy are encouraged to apply. Additionally, previous experience analyzing transcriptomic data is an advantage, as the dry lab (e.g., single cell RNA-sequencing dataset analysis) informs