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Value Chains, funded by The Bridge initiative. This project focuses on AI-driven data integration, forecasting, scenario simulation, and visual decision-support systems for sustainable forest-based supply
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statistically advanced programs in SAS and other software to allow analysis of data from large and sensitive healthcare administrative datasets and population-based surveys. We are seeking two applicants with
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analysis of large-scale 2D/3D scientific data. This position resides in the Data Visualization Group in the Data and AI Systems Section, Computer Science and Mathematics Division, Computing and Computational
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streamline processes and decision making with a focus on EHR reporting, data analysis and visualization for UCSF Health, Benioff Children’s Hospitals and our affiliates. As part of the data analysis and
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sources to populate SHADAC’s online data visualization tool: State Health Compare Conduct analysis using the National Health Interview Survey (NHIS) to examine differences in access to care and utilization
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or lead mixed-methods analysis combining survey data with qualitative findings where applicable. Reporting & Dissemination Develop data visualizations, technical reports, donor updates, and academic
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and qualitative data. Develop visualizations (e.g., tables, dashboards), interpret research findings, and write analytical summaries. Develop, review, and administer online surveys using Qualtrics
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leading role at the international level, for example in the field of plant and microbial data management, in the evaluation of new methods of genome analysis, in the integration, interpretation, and
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draft statistical analysis plans specific to research objectives. Generate analytic data sets, codebooks, and other documentation. Analyze individual-level data to answer scientific questions of interest
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in computer vision, machine learning, and related fields, to further visualization and interpretation of molecular images. Our research environment focuses on methodological development in cryo