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Field
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Develop and implement data visualization tools to communicate results to stakeholders Collaborate with other members of the research team to integrate genomics and phenomics data and develop new approaches
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* lead the independent project(s), designs, develops, executes, and implements scientific experiments, adopt novel technologies to the sample analysis, produce and visualize data for presentation
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. Proficiency in scientific programming languages (e.g., Python, R, or MATLAB) for data analysis and visualization. A record of research productivity appropriate to the career stage, including publications in
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 18 days ago
and deliver them. * Skilled at data visualization and presentation: The candidate will be called upon to present work at national and international research conferences. Minimum Education and Experience
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 12 hours ago
and deliver them. * Skilled at data visualization and presentation: The candidate will be called upon to present work at national and international research conferences. Minimum Education and Experience
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the Stanford University required minimum for all postdoctoral scholars appointed through the Office of Postdoctoral Affairs. The FY25 minimum is $76,383. The Neuroimaging and Visual Science Laboratory
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management, workflow systems, analysis and visualization technologies, programming systems and environments, and system science and engineering. Major Duties/Responsibilities: The position requires
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visualization technologies, programming systems and environments, and system science and engineering. Major Duties/Responsibilities: The position requires collaboration within a multi-disciplinary research
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visualization of microstructural evolution under mechanical stress. Here again, methodology development and optimization will be required. • Additional characterizations: Depending on project progress
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geographic and taxonomic scope of the analysis, develop approaches to link plant distribution data to (historic) urbanization data, perform data analyses and visualizations to reveal historic trends in species