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analyses, including strategic research projects, external reporting (i.e., IPEDS), and ad-hoc data requests. · Data Visualization and Communication- Oversee the development of interactive dashboards, reports
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renovations Contribute to long-term capital improvements, renovations, and new construction in support of the master plan of residence halls Conduct research, benchmarking, and best practice analysis projects
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the development of new statistical analysis methods, meta-analysis across cohorts, and the linking of clinical data to high dimensional, omics datasets. Our group is extremely collaborative both through formal
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, Computational Social Science, Big Data. Relevant skills could include statistical analysis, data management and collection, causal inference, network analysis, graph theory, visualizations, and online tool
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Science, or Information Science. The position requires experience with at least one of the following: Data Science, Machine Learning, Computational Social Science, Big Data. Relevant skills could include statistical analysis, data
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& Abilities: Strong communication skills Computer skills: mastery with creation and analysis of computer-generated databases, spreadsheets, preparation of charts, graphs and computer-generated visual programs
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techniques and methodologies used, as well as documenting past research for reporting purposes. Proposal writing, literature reviews, data collection, data analysis, and reporting. (30%) Execute oversight and
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, or engineering. Preferred Qualifications: The ideal candidate will bring experience or a very strong foundational understanding in areas such as high‑dimensional data analysis and translational research, and must
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, and visualization. Collaborates with Business Systems Analysts (BSAs), technical integration teams, and data warehouse developers to ensure consistent and integrated reporting across systems. Provide ad
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 4 hours ago
. Description: This project aims to develop a next-generation wildfire risk assessment platform that tightly integrates Earth Observation (EO) data, deep learning, and dynamic fire behavior modeling