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Field
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, generative AI agents for data analysis, and the design of interactive systems that keep human analysts in control of AI-assisted sensemaking. Responsibilities Conduct research on agentic visualization
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representation of data; (2) developing interactive measurement techniques on visualizations; (3) developing ways to merge analysis with visualization and provide quantitative feedback into the
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, including mass spectrometry-based approaches and high-dimensional biological datasets. Proficiency in R and/or Python for statistical analysis, visualization, and reproducible data workflows. Experience with
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Researcher to support research and development in nautical chart symbology, chart compilation, and visualization of data overlays within decision-support systems for marine navigation. The position
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 2 hours ago
Researcher to support research and development in nautical chart symbology, chart compilation, and visualization of data overlays within decision-support systems for marine navigation. The position
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Postdoctoral Research Fellow - Human-Centered AI for Data Visualization at Computer Science, Aarh...
applications for a 36-month Postdoctoral Research Fellow position focused on Human-Centered AI for Data Visualization. The position is funded by the Center for Anytime Anywhere Analytics (CA3). The
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expertise in R and Python and be highly proficient in using R for statistical analysis, bioinformatics, data visualization, and multi-omics data analysis. The candidate should be comfortable independently
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, mobile application development, spatial data analysis, visualization, and GIS. The Lab conducts interdisciplinary collaborative projects with research partners on campus at the UO, with state agencies, and
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experience in data analytics/analysis. Minimum 2 years professional experience utilizing advanced statistical packages, geographic mapping software, or other data visualization software. Strong verbal and
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, and/or RStudio for high-dimensional flow cytometry data analysis and visualization. Experience with high-parameter spectral flow cytometry and/or mass cytometry (CyTOF). Experience with single-cell RNA