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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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systems, scalable algorithms and systems, artificial intelligence and machine learning, data management, workflow systems, analysis and visualization technologies, programming systems and environments, and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
analysis about mouse behavior from video * Machine Learning: use your expertise in statistics and machine learning to analyze high dimensional medical imaging data* Make it easy to get high quality
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applied mathematics and computer science, experimental computing systems, scalable algorithms and systems, artificial intelligence and machine learning, data management, workflow systems, analysis and
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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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, dynamic mapping, mobile application development, spatial data analysis, visualization, and GIS. The Lab conducts interdisciplinary collaborative projects with research partners on campus at the UO, with
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: On understanding the technical capacity of the candidate regarding experimental design and data analysis (40%), On understanding the theoretical capacity of the candidate to the level of knowledge
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/bioinformatics, and data science. Work Performed · Work in highly collaborative inter-disciplinary environment with clinicians, econometricians, statisticians, and data scientists · Lead statistical analysis
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data analysis skills including programming in R, Python, or similar, and proficiency in using GitHub and other data management tools; ● Experience summarizing and visualizing data in accessible and
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and conceptual development, and data analysis. design, develop and deliver methodological strategies and undertake appropriate field research to collect qualitative data through techniques including