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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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for astronomical or mathematical reasoning within the astral sciences. Large-scale study of these materials requires fine-grained automatic analysis of their content, which is often disconnected from their visual
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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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big data and AI at its core. A central goal of the project is to build a foundation model of the visual brain—a “digital twin” that captures neural activity and intelligent behavior at unprecedented
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day 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