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Field
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incorporating eye-tracking to investigate visual attention and learning processes. Collect, process, and analyze multi-modal datasets (e.g., eye-tracking, behavioral, performance metrics) to study learner
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metadata to enable data and workflows to be reproduced. ArcGIS StoryMaps or Similar – ability to produce integrated spatial, visual and textual information in a structured and visually appealing way
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. Data Analysis and Visualization: - Analyze datasets from LEEM/μ-LEED, XPEEM, XMCD/XMLD, and ARPES using specialized software and quantitative analysis methods. - Create clear visualizations of data and
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: Statistical analysis & causal inference Data management, collection & visualization Social network analysis & graph theory Online tool/web development Running controlled experiments Game-theoretic modelling
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-resolution Ultrasound Real-time imaging using. Erythrocytes (SURE). The approach can non-invasively visualize the microvascular structures in the human body for vessel diameters down to 28 µm from data
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opportunity to carry out research that explores how spontaneous strategy use in visual working memory varies over time among older and younger adults in the context of everyday life. This study is part of
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systems onto real robots for tasks such as tracking, 3D reconstruction, object recognition, and visual SLAM. They will be working with a team composed of PhD students, Research Assistants, and Postdocs
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the staff performance management system. Physical Requirements (With or Without Accommodations): • Visual acuity to read information from computer screens, forms and other printed materials and information
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Medical Informatics Lab, affiliated with the Visual Informatics and Data Analytics (VIDA) group in the College of Computing and Digital Media. What You'll Do: Conduct data collection, preprocessing
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theory, visualizations, and online tool development. Experience in conducting online controlled experiments is also desired, but not required. Excellent communication skills in English, ability to work in