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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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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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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 | 2 days 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
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candidate will be part of a diverse team of experimentalists, theoreticians and biostatisticians that studies thalamocortical interactions in different brain models (tree shrew, macaque, human neurotypical
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, computational musicology and music theory, music cognition, spatial/immersive audio, generative music systems, human-computer interaction, machine improvisation, musical robotics, and/or new interfaces
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media systems, with implications for subsurface biogeochemistry and sustainable critical mineral extraction. The researcher will conduct microfluidic experiments to visualize and quantify fungal–mineral
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Accommodations): • Visual acuity to read information from computer screens, forms and other printed materials and information. • Able to speak (enunciate) clearly in conversation and general communication
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relate to public health and public safety. The &-Lab is expanding as we embark on a new grant-funded research initiative, where we aim to document, analyze, and visualize inequalities across court systems