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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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                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 relationship between acoustics backscatter, optical backscatter, and optical imaging, with a focus on data collected with in-situ AUV systems and airborne, water-penetrating LiDAR systems. Specifically 
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                Associate who will focus on creating innovative uncertainty quantification and visualization algorithms that enable trusted visual representation and analysis of large-scale 2D/3D scientific data