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investigators, research professionals, clinicians, statisticians, data scientists, and trainees. The position will support the organization, processing, quality control, analysis, integration, visualization, and
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, statistical analysis and visualization of genomic and phenotypic data. * Interpretation of experimental and bioinformatic results in the context of bacterial adaptation to stress. * Contribution
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-Chem simulations for modeling aerosols and clouds in the Arctic region. - Analysis of the interactions between aerosols, clouds, and climate using data from the simulations. - Validation of the models
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related field. Experience using SQL for data management. Experience using Python and/or R for data analysis. Experience using Tableau and/or comparable BI tools for data visualization. Familiarity with CRM
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data integrity. Create, maintain, and troubleshoot Analysis Services cubes; configure cube partitions to maximize performance. Data Visualizations: Define and govern organizational data visualization
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data acquired by mobile road monitoring systems using heterogeneous sensors, such as images, laser profilometers, GPS, and audio data, will integrate machine learning, computer vision, and image analysis
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help ensure the accuracy, integrity, and analysis of utility and energy data that supports Duke University and Duke Health. Working within the Building Energy Management Department of Duke Facilities
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-if” scenarios such as shuttle operations, traffic management, special events and extreme weather disruptions. Student may contribute to data visualization, dashboards, documentation and presentation of project
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methodologies (longitudinal designs, moderation and mediation, causal inference), library research (Pubmed searches, systemic review methods), and statistical analysis (data visualization, descriptive analyses
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premier source for data and information on the science and engineering enterprise? Do you want to learn from top researchers and subject matter experts in data analysis, statistics, economics, science