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experience managing large-scale surveys data. The two projects the post-doctoral associate will support are focused on consumer preferences for battery electric vehicle information and consumer preference
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, Biology, Bioengineering, or related field. Strong technical background in experimental rig design and construction. Proficiency in Python programming for data analysis and experimental control. Experience
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immunofluorescence, in situ hybridization, genotyping, quantitative PCR, micro-computed tomography, fluorescent and confocal microscopy imaging, cell culture, and computer based data analysis. Digital PCR and new
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high-quality peer-reviewed research articles, present findings at scientific conferences and professional meetings, contribute to data visualization, figure preparation, and professional scientific
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, contribute to data visualization, figure preparation, and professional scientific writing. (30%); Assist in the development of proposals for external funding for research projects. (5%) Requirements Required
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 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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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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livable cities. The ideal candidate would have strong experience in some of the following areas: quantitative and qualitative data collection and analysis, geospatial data analysis, urban design, data
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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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, and analyzing these data using advanced statistical models and visualization techniques. The job also emphasizes the dissemination of knowledge about population health, particularly through