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the start date of the appointment. Demonstrated expertise in quantitative data analysis, including advanced statistical modeling (e.g., mixed-effects models, longitudinal analyses, mediation/moderation
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the Pacific Northwest and developing a time-dependent interseismic coupling model. This project is a component of an active research grant funded by the National Science Foundation for the Cascadia Region
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data analysis (e.g., MRI preprocessing, statistical modeling, familiarity with tools such as FSL, SPM, AFNI, or similar platforms). Proficiency in statistical programming (e.g., R, Python, MATLAB
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-based microarrays, immunohistocheistry, spatial transcriptomics and molecular analysis. The candidate is expected to be able to summarize data for inclusion in grant proposals and manuscripts; prepare
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the analysis and interpretation of research data; responsible for the extraction, analysis and presentation of research data; coordinate the analysis of research findings and prepare detailed summaries
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goals. The postdoc advises undergraduate and graduate students in the analysis and interpretation of research data. They are responsible for the extraction, analysis and presentation of research data, and
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Number: R142961 Researcher to function as a technical expert in molecular profiling from human tissue samples; high through-put analysis and genomic analysis of gene expression; plans, designs, executes
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analysis from human clinical trials and murine models. Evaluate the causal effects of the microbiome on cancer treatment outcomes Collaborate effectively with faculty and lab members for analyses
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-reviewed journals, and fostering interdisciplinary collaboration. A Ph.D. cell biology, molecular biology, neuroscience, or a related field is required, along with strong research and data analysis skills
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and analysis of data; analyzes and interprets research data; develops and implements new and/or revised research methodology and techniques; plans and tests experimental designs, sampling techniques