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California State University, Northridge | Northridge, California | United States | about 19 hours ago
plus. Experience with advanced analytics, including predictive modeling, data science, or statistical analysis to support data-driven decision-making. Demonstrated experience designing and implementing
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, providing updates on the plans and progress of the Design Assist and/or EMpowering Small Minnesota Communities project. Contribute to the collection and analysis of research data to evaluate the progress
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experience in all parts of the software development process including analysis of system requirements and high-level system design. As well as, demonstrated extensive knowledge of: Tools: Visual Studio, Visual
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and statistical analysis requires evaluation of identifiable factors. Demonstrates good judgment in selecting methods and techniques for obtaining solutions. Performs data analysis with a growth
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aligned with project goals. Develop protocols and timelines for stakeholder engagement and data collection and analysis. Study Coordination (20%) Serve as primary liaison to school food stakeholders (e.g
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to the development, distribution, and maintenance of free software for the analysis of genetic data. You will have an opportunity to work in a challenging and rewarding research area that constantly poses new
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organization; Demonstrated experience preparing reports, conducting variance analysis, and supporting budget development cycles; Experience working with financial data tools and spreadsheets (e.g., Excel
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maintaining the financial health of the Institution by performing data-driven analysis and generating comprehensive financial and other reports, which support effective resource allocation. This role supports
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and analysis. Experience reporting mixed-methods results. Experience with creating data visualizations for research reporting. Demonstrated usage of R, SAS, or Stata for data analysis. Additional
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(e.g. Pydantic, JSON Schema) is advantageous experience with data visualization, image analysis and segmentation methods, machine learning pipelines, or workflow orchestration frameworks (especially