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(longitudinal designs, moderation and mediation, causal inference), library research (Pubmed searches, systemic review methods), and statistical analysis (data visualization, descriptive analyses, time series
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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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Responsibilities Responsibilities include: Leading a project in coral stem cell isolation, characterization, preservation, and propagation Develop and implement data analysis and visualization strategies, perform
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the Financial Planning and Analysis team, develops a data warehouse for contracts, capturing key information needed for business processing and maintaining documentation for existing and new contracts. Working
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equipment used in analysis such as spectrophotometers, analyzers, microscopes, slide stainers, diluters, and computer controlled high volume analyzers, mixers, rotators, pipettes. Perform minor
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beyond basic scripts (numerical methods, data analysis pipelines, visualization) Fit in state of the art AI usage We are not looking for a narrow specialist. We are looking for someone who learns quickly
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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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research impact. More information about the study can be found here: https://www.healthdata.org/research-analysis/gbd . Purpose of the post We seek a motivated, detail-oriented researcher enthusiastic about
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University of California, San Francisco | San Francisco, California | United States | about 1 month ago
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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Posting Details I. JOB OVERVIEW Job Description Summary: The Office of Academic Planning and Assessment was created in 2008 to meet the University’s growing needs for institutional data, analysis