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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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Researcher to support research and development in nautical chart symbology, chart compilation, and visualization of data overlays within decision-support systems for marine navigation. The position focuses
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, develop interactive dashboards, perform survival analyses, and conduct research in health outcomes disparities and predictors of treatment success for children with cancer. Baylor College of Medicine
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team and contribute to IDEAS (Intelligent Data Exploration Assistant for Science), a multi-year research effort focused on developing AI-powered visualization systems that enable interactive, human-in
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frameworks linking molecular interactions to cellular and network-level behavior (e.g. protein-protein interaction, PPI, network analysis) Optimize simulation codes and workflows for leadership-class HPC
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Description Overview: We are seeking a Postdoctoral Research Associate who will focus on creating innovative uncertainty quantification and visualization algorithms that enable trusted visual representation and
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with disabilities. Location Omaha, NE Requisition Number: 2026 - 038 Department Ophthalmology and Visual Sciences 50000516 Business Unit(College/Institute) College of Medicine FTE: 100 Reg-Temp Full-Time
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multimodal interaction. Our research aims to bridge the gap between visual perception and actionable assistance, with applications including: · Video-based skill coaching and instruction
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Postdoctoral Research Associate who will focus on creating innovative artificial intelligence algorithms for the trusted visualization of large-scale 3D scientific data. This position resides in the Data
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
computational modeling. * Interact cross-functionally: work with people across the team to find creative solutions and deliver them. * Skilled at data visualization and presentation: The candidate may be called