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University of California San Francisco | San Francisco, California | United States | about 4 hours ago
analysis and visualization for UCSF Health, Benioff Children's Hospitals and our affiliates. As part of the data analysis and reporting efforts, this position will focus on providing expertise across
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collaborations and perform cross-species comparisons. We use machine learning techniques for neural data analysis and computational modelling with a special interest in biologically-inspired deep learning and AI
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Posting Details Student Title Classification Information Quick Link https://chapman.peopleadmin.com/postings/39194 Job Number SE181224 Position Information Department or Unit Name Fowler School
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Scholar (FP01) – AI Imaging & Retinal Disease who is interested in ophthalmology to assist in refinement of AI models as well as validation of new biomarkers and data analysis to be able to predict whether
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), combining state-of-the-art in vivo approaches with quantitative data analysis. About the lab and environment The Rebola Lab (https://therebolalab.org ) studies how variability in synaptic function across
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consultant and partner to UTA students, faculty, and staff regarding data analysis and visualization. This librarian will be responsible for providing public-facing services focused on data visualization via
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sampling grids, analyze temporal trends, and produce visualizations and reports to support cannabis remediation research on tribal lands. Minimum Qualifications Knowledge of spatial statistics, GIS analysis
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that enable decision-making across Northeastern University. This role bridges data engineering and analytics—building robust data pipelines in Snowflake while creating user-friendly reporting and visualization
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consultant and partner to UTA students, faculty, and staff regarding data analysis and visualization. This librarian will be responsible for providing public-facing services focused on data visualization via
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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