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The ALCF has an opening for a postdoctoral position in AI-assisted scientific visualization and intelligent data exploration. The successful candidate will join the Visualization and Data Analytics
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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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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 8 hours ago
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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facilitation, assisting in the curation of diverse visual collections for the DV Data platform, creating documentation for the Distant Viewing Toolkit, and helping organize the Distant Viewing Conference
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Status: Exempt Work Schedule: Monday – Friday, 8 a.m. – 5 p.m. Summary The Department of Pediatrics is seeking a Postdoctoral Associate to use data science tools and population health techniques to improve
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position within a Research Infrastructure? No Offer Description Activities: This research investigates the use of artificial intelligence in developing data visualization systems for born-digital collections
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information encoding and computation in neocortical circuits. The successful candidate will lead an ambitious project on synaptic and circuit mechanisms of sensory processing in primary visual cortex (V1
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visual dimensions in the context of face, animacy, and object representations more generally. We collect and analyse human behavioural and brain imaging (fMRI and M/EEG) data. We also analyse macaque
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NIMH-funded longitudinal functional MRI (fMRI) study of threat perception in children. Other current lab projects include analysis of extant fMRI datasets related to visual perception, as well as fMRI
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. This includes conceptualizing research questions, designing empirical studies, collecting or acquiring new data sets, and analyzing these data using advanced statistical models and visualization techniques