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to the computational analysis of visual culture in the humanities. The postdoctoral researcher will work closely with the project PIs, Lauren Tilton and Taylor Arnold, to develop and implement educational resources
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given to candidates with expertise and experience with large language models (programming, benchmarking, human-centered evaluation), strong data science / computational modeling / statistical analysis
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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
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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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: Excellent verbal and written communication skills. Proficiency in data collection, interpretation, and statistical analysis. Proficiency in data analytics, visualization. Proficiency in at least one of the
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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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or lead mixed-methods analysis combining survey data with qualitative findings where applicable. Reporting & Dissemination Develop data visualizations, technical reports, donor updates, and academic
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denoising techniques, analysis of visual and cognitive experiments, and/or related computational modeling work. For additional information on the position email kay@umn.edu. Duties and Responsibilities
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-of-the-art methods, datasets, and challenges Proven experience with: Video data processing for learning and inference Deep learning architectures for video analysis Python programming and PyTorch framework
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. Successful candidates will bring experience with survey methodology, psychometrics, and/or quantitative research design; along with proficiency in statistical analysis and data visualization tools