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Field
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, robust, and reproducible data analysis. Conventional statistical approaches will be combined with innovations in interpretable machine learning to address each aim from multiple angles. Analysis code will
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neurophysiology of cognition using macro- and micro- probes in the cortex and hippocampus in human neurosurgical patients. Assists in data acquisition and experiment setup. Develops data visualization tools
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analysis and Excel Experience with data analysis programming (visual studio/visual basic) Excellent written and oral communication skills Demonstrated ability to function well in a fast-paced research
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 24 hours 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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experience in designing and implementing interactive data visualizations using common libraries like D3.js, ggplot, or vega, as well as expertise in languages and libraries for data analysis such as R
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degree in the natural/life sciences or human medicine and practical experience in healthcare/science management, especially scientific project management. Experience in data analysis and visualization is
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software delivery f) big data visualization g) cloud computing h) web application development i) NetCDF and Zarr data models f) earth system model development. Experience with software development, analysis
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Preferred Qualifications: • Demonstrated productivity through first-author and collaborative publications in immunology • Strong background in experimental design, statistical data analysis, and data
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skills in Python Demonstrated data analysis and visualization expertise Experience working in high-performance computing environments Familiarity with data analysis and visualization tools Preferred
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datasets, metadata, and data from biochemical assays. The candidate will also play a key role in planning and acquiring new datasets through involvement in the design and analysis of human clinical studies