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interventions, such as visual cues, to reduce harm and foster healthier browsing, delivering actionable insights for policymakers, mental health professionals, and platform designers. Related publications from
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McGill University | Winnipeg Sargent Park Daniel McIntyre Inkster SE, Manitoba | Canada | about 1 month ago
addresses these fundamental challenges by employing single-molecule fluorescence microscopy to visualize mRNAs in their cellular context. Coupling these techniques with genetic and molecular biology
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success of the MDF. Major Duties/Responsibilities: Development of detection and measurement solutions for manufacturing systems Development of software and algorithms to collect, visualize, and analyze data
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Max Planck Institute for Brain Research, Frankfurt am Main | Frankfurt am Main, Hessen | Germany | about 1 month ago
Access to state-of-the-art scientific infrastructure and training (including imaging, scientific computing and data visualization, proteomics, and electronics facilities, and a mechanical workshop
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thermography cameras, drones, and EEG as well as advanced computing and visualization systems such as CAVE (an immersive visualization facility),VR, and AR and computing clusters for data intensive research
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are seeking highly qualified applications to explore visual and LiDAR based navigation methods in the IDEAS lab (https://ouideas.github.io/). The expected responsibilities for this position are to assist with
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position is part of a project to investigate the brain mechanisms of vision and visual development. The studies will involve a combination of approaches including neurophysiology, neuroanatomy, behavior, and
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Internal to the University Pay Rate Range $61,008.00 - $64,356.00 Close Date 07/29/2025 Priority Review Date (Note - Posting may close at any time) Job Summary The Department of Ophthalmology and Visual
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operation are pivotal in laboratory environments; thus, guarantees for correct behavior despite uncertainties must be provided. This project will integrate visual sensing and force sensing to obtain effective
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will expand the Rosaceae, Citrus, Vaccinium and Pulse crop databases to meet community demand for resources with usable big data aggregated, analyzed, integrated, and visualized, as well as data