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, 40 hours per week. Responsibilities: 75% Design and research support Work with the Design Assist and/or Empowering Small Minnesota Communities leadership to share research information, address
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, 2) Geochemical analysis of fossil foraminifera, data processing and visualization, interpretation of results, and preparation of manuscripts and conference presentations, 3) Processing of microCT data
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phenotypes. -Execute standard molecular biology techniques, including PCR, Western blotting, and gene expression analyses. -Apply confocal microscopy to visualize cell-cell and cell-matrix interactions in 3D
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and campus. Position Information Full-time, benefits eligible, temporary position. This is a 12-month appointment beginning July 1, 2026 (possibly renewable for a second-year contingent upon performance
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | 16 days ago
analyzing data within the Center for Drug Evaluation and Research (CDER) drug submission database. The project will help modernize CDER’s data analytics capabilities and support FDA’s mission to protect
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forest restoration Develop skills in modeling silvicultural treatment outcomes Acquire advanced data analysis skills in the data management, analysis, and visualization of long-term experiments Detail
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, data management, and analysis. Demonstrated experience in scientific writing and data analysis. Education and experience in data management, analysis, and visualization in R. Stipend $6,898.33 Monthly
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Learn, OpenCV, PyTorch), R, SQL, HTML/CSS, C, STATA Coursework in Machine Learning, Algorithms/Advanced Data Structures, Data Science, Probability, Data Graphics and Visualizations, Modern Regression
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Management: Implement best practices for data organization, ensuring all experimental records, code, and datasets are meticulously documented, reproducible, and accessible. Analyze, interpret, and visualize
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an inclusive, collaborative research culture. Methodological Innovation (10%): Contribute to the development of advanced analytic plans, causal methods, and data visualizations that highlight intervention