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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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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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, Computer Science, Data Science, or related field • Experience in point cloud analysis or real-time object tracking • Proficiency in programming and data-driven design workflows • Experience in
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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
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, Python), and institutional research databases for data management, analysis, and visualization. Supports clinical research activities that includes preparation of IRB protocols, patient data collection
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, data analysis, and visualization environments/IDEs (e.g., R/R Studio, Python/Spyder/VSCode) Familiarity with GIS methods and cloud-based computing resources (e.g., Google Earth Engine) for large-scale
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data analysis skills Experience with field data collection in agricultural or environmental settings Demonstrated ability to publish in peer-reviewed journals Desired Qualifications Experience
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experience in <b>data</b> <b>analysis</b> and <b>visualization</b> tools for device performance evaluation. • Excellent communication skills and the ability to collaborate effectively within interdisciplinary teams spanning engineering, biosensing, and clinical research. • Open to...
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(longitudinal designs, moderation and mediation, causal inference), library research (Pubmed searches, systematic review methods), and statistical analysis (data visualization, descriptive analyses, time
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graduate training or previous position. Preferred Experience Candidates with experience in flow cytometry, single-cell analysis, quantitative imaging, and routine use of R or Python for data analysis