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Field
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interactive visualization for decision making. These research topics are highly relevant for academia and economy as both science and industry make increasing use of data-intensive technologies. Field
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analysis and visualization of typically large and complex information spaces, for example in biochemistry, humanities, or software engineering. Our vision is to attack the big data challenge by a combination
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/Administrative Internal Number: 6551125 Postdoctoral Research Associate Human Data Interaction/Data Visualization The Roux Institute, Portland, Maine About the Opportunity Postdoctoral Research Associate - Human
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Posting Details Position Information Posting Number PG191509PD Position Number 00111535 Position Type Post Doc FLSA Exempt Departmental Information Department ID 230101 - Interdisciplinary Programs
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About the Opportunity Postdoctoral Research Associate – Human Data Interaction/Data Visualization – The Roux Institute, Portland, Maine We are currently seeking two postdoctoral research fellows
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datasets. EIDA combines recent advances in “analysis-by-synthesis” approaches in computer vision with the “visual” and “practical” turns in the history of astronomy, in a deeply interdisciplinary framework
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of this project will broaden our understanding of human visual perception, provide deeper insight into how pulsed laser light interacts with the living eye, and supply the essential data required for future
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We are seeking a full-time Postdoctoral Research Assistant in Computer Vision to join the Visual Geometry Group (Central Oxford). The post is funded by ERC and is fixed-term for 2 years with a
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Post Doctoral Fellow of Ophthalmology and Visual Sciences Posting Number req34842 Employment Type Faculty Faculty Type Research Hiring Department Department of Ophthalmology (409A) Academic Location
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
integration, modeling cancer vulnerabilities, designing tools for data interpretation and visualization, and/or training foundation models and large language models (LLMs) for diverse biomedical applications