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Field
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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
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, artificial intelligence and machine learning, data management, workflow systems, analysis and visualization technologies, programming systems and environments, and system science and engineering. Major Duties
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specifically investigate how changing lightscapes affect visual predation by fish and vertical mobility patterns of fish and plankton, and how the effects propagate down to the base of the food-web. Identified
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to advance nucleic acids chemical biology. Its research centers on the design of fluorescent nucleoside analogues and molecular probes that enable new ways to visualize, interrogate, and modulate nucleic acids
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(such as Seurat, Scanpy, etc.) Proficiency in R or Python for statistical computing and visualization Familiarity with dimensionality reduction techniques like tSNE, UMAP, PCA Experience with multicolor flow
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. Data analysis, interpretation, and visualization. Preparing scientific reports and peer-reviewed publications. Presenting research findings at national and international conferences. Required Education
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, archiving, data visualization, relational databases, or digital storytelling, but may not be limited to them. The appointed person should be able to demonstrate how some of these methods can be useful to a
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‐based visualization and user-interaction interfaces, including 3D modelling, physics integration, and cross-platform deployment (PC, mobile, AR); integrating and deploying AR navigation applications
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Institutional Review Board (IRB) protocols. ● Design and execute data analysis pipelines using statistical methods and advanced computational tools. ● Translate complex findings into clear data visualizations