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Microsoft Excel skills, including data extraction, analysis, visualization, and reporting. Experience creating dashboards, scorecards, metrics, and performance reports. Proficiency developing executive-level
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work closely with key stakeholders to identify and conduct data analysis projects that support the mission and goals of the University and Northeastern University Research Enterprise Services (NU-RES
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work closely with key stakeholders to identify and conduct data analysis projects that support the mission and goals of the University and Northeastern University Research Enterprise Services (NU-RES
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from forest firefighting services with IoT sensors deployed in natural environments, drones, and other data sources, including operational scenarios and virtual reality visualization tools to support
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access, transportation planning, and land use planning. Purpose of Position: The Research Data Analyst will assist with the analysis, data sharing, communication, and data management of the Center’s AO
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structural elucidation of unknown compounds; and contribute to data analysis, visualizations, and manuscripts as needed. Develop quantitative same-day blood and fecal assays for a CLIA/CAP clinical lab. Author
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, analysis, and visualization. We partner with leadership teams, academic departments, and student service areas to provide high-quality data and evidence-based recommendations that promote student success and
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accurately, and enabling survey data to be leveraged by the university. The successful candidate will be a seasoned professional with a strong background in social science, data analysis, data visualization
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are looking for a customer-service-oriented professional who brings a strong technical toolkit, excellent interpersonal skills, and a proven track record in web data analysis and reporting. Learn more about the
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 17 hours ago
of proficiency in either R or Python in the areas of machine learning, deep learning, statistical analysis, computer vision, and/or graph analysis Experience with data engineering to create data