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analyses. Proficiency or familiarity with data analysis tools (e.g., Excel, R, Stata, SAS, or Python) to clean, analyze, and visualize data. Strong written communication skills and the ability to transform
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stakeholders. Complete the necessary month- and year-end transactions, reporting, and documentation for the unit. Gather, analyze, and summarize financial data and trends. Provide analysis and recommendations
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cloud-based geospatial analysis. Spatial visualization, mapping applications, and predictive ecological modeling. Applicants must possess a valid U.S. driver's license (or obtain one within 60 days
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hypotheses and analytical strategies; establish and optimize reproducible bioinformatic workflows; oversee data processing, analysis, interpretation, visualization, and reporting; and provide scientific
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accurate organization, cleaning, and analysis of hydrological datasets Utilizes programming tools (e.g., Python, R, MATLAB, Excel) for data analysis, statistical computations, and visualization Assists with
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Statistics; Data Analytics: Fundamentals and Ethics; Data Wrangling and Preprocessing; Data Visualization; Regression Methods; Machine Learning for Applied Research; Applications in Data Mining; Social Network
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at the intersection of environmental economics, spatial analysis, and social-ecological systems, the Postdoctoral Researcher will lead the development of an inventory and spatial database of ecosystem services impacted
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California State University, Northridge | Northridge, California | United States | about 19 hours ago
models that support prospect identification, pipeline analysis, donor engagement, stewardship, and strategic fundraising decisions. Demonstrated ability to evaluate and improve data quality, apply
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uninterrupted services mapping our relevant key performance indicators directly from Temple Health and Temple University data. The primary focus encompasses the collection, analysis, and interpretation of diverse
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improvement and/or population health research in a project-based team setting. This role is primarily focused on creating and maintaining advanced interactive data visualizations (dashboards) using R-Shiny