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critical assessment of published data. Compositional analysis of stained glass windows in the laboratory by LA-ICP-MS and on site by pXRF. The latter requires the establishment of a robust calibration
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archival of data and wood specimens. Contribute to hydroclimatic and dendroclimatic data analysis and visualization. Provide written and graphical support for project reports and publications. Assist with
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. Describe a deep learning project you have executed. Projects in computer vision for microscopy image analysis are especially relevant. Include a link to a code repository if possible. If you contributed to a
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visualization systems. Research themes: The PhD student will contribute to several of the following topics: Computer-generated holography (CGH); Optical system analysis and simulation; Developing AI/ML algorithms
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, including preparing data, conducting data analysis such as regression, forecasting, optimization, data visualization, and data story telling. This degree prepares students for entry-‐ and mid-‐level roles in
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visualization of spatial data; environmental geospatial modeling, remote sensing and spatial statistics; relational database concepts; identification of spatial temporal turbidity patterns in coastal waters using
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forecasting methodologies and demand-side analysis – Advanced data analysis and visualization skills (Excel, Tableau, Power BI) Does this position have supervisory responsibilities? No Preferred Education
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initiatives, including predictive modeling, trend forecasting, and longitudinal analysis to inform institutional direction and planning. Develop and maintain dynamic dashboards, data visualizations and
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Processing: Uses existing tools to build data processing pipelines to convert raw data into formats compatible with conventional statistical analysis and visualization Data Analysis: Performs routine analysis
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California State University, San Bernardino | San Bernardino, California | United States | about 23 hours ago
other students from across the campus. The core approach taken to teaching across all the areas of the department focuses on visual and material literacy, as well as critical and discursive analysis