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the ability to design and manage complex data models, create dynamic PivotTables and charts for trend analysis, apply conditional formatting for visual data interpretation, build automated tools using advanced
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on scientific applications of AI (see https://www.anthropic.com/news/anthropic-partners-with-allen-institute-and-howard-hughes-medical-institute ). What you’ll do: Design and implement scalable, robust data
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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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extraction, transformation, and loading (ETL) processes; classical statistical analysis; predictive and prescriptive modeling; optimization; and data visualization techniques to generate actionable insights
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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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7 Mar 2026 Job Information Organisation/Company University of Amsterdam (UvA) Research Field Arts » Visual arts Researcher Profile Recognised Researcher (R2) Application Deadline 20 Apr 2026 - 21:59
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developing pipelines for production-level biological data analysis in Python or R. Strong bioinformatics and/or computational biology experience, including machine learning, statistical analysis and data
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University of California, San Francisco | San Francisco, California | United States | about 1 month ago
managing dashboards and data visualizations; conducting statistical and computational analyses; overseeing data quality assurance processes; and generating reports to inform feedback, shared learning, and
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implementing data reporting templates and systems (i.e., tables, graphs, charts, dashboards) to support and facilitate internal trend analysis and data visualization for tracking and reporting program outcomes
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 18 days ago
novel algorithms for visual data analysis, · work with real/synthetic datasets and design data processing pipelines, · integrate the developed algorithms into a comprehensive, functional software