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Field
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process source materials for computational analysis within the project database Engage with visual, material, and cultural productions in the region Academic Output Write a monograph and contribute to
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Python, R or a similar scientific programming language, with a focus on reproducibility and open-source best practices Demonstrated experience in geospatial data analysis and the management of large
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have demonstrated experience applying AI and machine learning tools to manage, clean, and code complex nutrient content and food product datasets. Experience with data visualizations, front of pack
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, landscape architecture, construction management, urban and regional planning and visualization. As the only department of its kind in the nation, The Department of Landscape Architecture & Urban Planning
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partners; - analyze the behavioral traces and verbal data using suitable methods (regression, clustering analysis, Bayesian models); - contribute to the identification of relations between mediation
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on the future as a temporal category in its comparative and political dimensions across the regional contexts under analysis. Further details are available at: https://www.anthrofuture.com . As part of
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geophysical monitoring, data integration, and the development of predictive models and visualization tools. Candidates should have a PhD in geophysics, hydrology, environmental engineering, or a related
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publications. Proficiency with statistical analysis and data visualization. Application process: Applications should contain the following documents: Curriculum Vitae A letter (maximum 1 page) explaining
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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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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
purification, western blotting, and cell culture Experience with murine models of bacterial infection Proficiency in experimental design and documentation, data analysis and visualization, and troubleshooting