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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
, designing tools for data interpretation and visualization, and/or training foundation models and large language models (LLMs) for diverse biomedical applications. Dr. Li has published over 70 peer-reviewed
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Educational Rights and Privacy Act (FERPA) and the Americans with Disabilities Act (ADA). Principles, practices, and techniques of customer service. Basic research methods and data analysis techniques. English
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; addressing the spread of misinformation and disinformation in social networks; using algorithms or computer simulations to study gerrymandering; or the role of information visualization to investigate and
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-making and innovation, utilizing data to evaluate and optimize outreach, donor segmentation, and campaign performance. Conducts requirements analysis, translating requirements into a scope document and
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anemometers. Develop Measurement Techniques: Innovate and refine experimental methodologies to quantify uncertainties in fluid dynamic measurement systems. Experimental Data Analysis: Utilize MATLAB, Python
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bias. Create visual representations and tools to visualise data: so stakeholders can see the system: capability heatmaps, ecosystem maps, value chain diagrams, adjacency radar, maturity ladders plus
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maintenance, including photo updates, content updates, gap analysis of content and subsequent content development. Review website for dated material and works with content providers to add or delete content
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research and teaching in applied analysis, computational mathematics, data science, discrete mathematics, financial mathematics, stochastics, and statistics. The Department of Applied Mathematics is the only
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. Assists Vice Provost and the Doctoral Council to collect, analyze, and visualize graduate student life cycle data, including enrollment, milestones, leaves, and graduation. Build, implement, and manage the
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would have strong experience in some of the following areas: quantitative and qualitative data collection and analysis, geospatial data analysis, urban design, data visualization, and community engagement