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of quantitative analyses (including statistical analysis). Demonstrated proficiency with SAS, Stata, or R for data analysis and statistical programming.. Demonstrated proficiency with data visualization (such as R
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of extracellular vesicles Experience in handling medical/clinical samples Experience in protein and RNA analysis Experience in data analysis and data visualization Experience in COMSOL and Python programming We
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support multiple funded and developing research projects, including analyses of existing data from studies of abnormal visual perception in people with schizophrenia and those at elevated risk, as well as a
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pertinent medical literature • Contribute to data analysis (visualization and statistical analyses in R) and manuscript generation for publication in peer reviewed journals. • Contribute substantially
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accessibility and workflow efficiency. Support faculty and research staff in preparing datasets for analysis, visualization, and publication. Research Operations Support Assist Study Coordinators and Clinical
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critical assessment of published data. Compositional analysis of stained glass windows in the laboratory by LA-ICP-MS and on site by pXRF. The latter requires the establishment of a robust calibration
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data analysis and prepare visualizations and summary reports for research collaborators. Contribute to manuscript preparation, documentation, and reproducible research practices. Collaborate with
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of existing methods and procedures for use in the joint project Evaluation, analysis, and visualization of data Documentation of laboratory work Collaboration with other project partners and regular
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applications (https://www.cbr.washington.edu/analysis) to perform statistical analyses relevant to fish, dam, water, and natural resource management. The Software Engineer will play a lead role in the
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, and contribute to a federally funded R01 initiative focused on the integration of spatial omics, transcriptomics, and histology data. The role emphasizes computational analysis of single-cell RNA