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Field
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: 7026843 Collections Management Post-Baccalaureate Fellow Hobart William Smith Colleges Location: Geneva, NY Open Date: Mar 23, 2026 Description The Visual Arts Curator of the Davis Gallery at Hobart and
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in interactive product design, user interface/user experience design and visual design; (b) working knowledge in physical computing and/or coding/scripting; (c) an excellent command of written
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Center for Biologics Evaluation and Research (CBER) | Silver Spring, Maryland | United States | 11 days ago
and digital platforms supporting scientific, regulatory, and operational programs within CBER. This opportunity focuses on improving usability, accessibility, performance, and visual design of web-based
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repositories and user-friendly scripts for data visualization by other researchers. • Handle project documentation, progress reporting, budgeting, and procurement (including liaising with vendors and managing
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visualization environments Optimize scene graphs, memory management, asset streaming, and runtime performance Contribute to research proposals and peer-reviewed publications Generative AI Integration Generative
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(Continual)? Zero-Shot Learning, Ivan Skorokhodov, Mohamed Elhoseiny, ICLR, 2021 Exploring Long Tail Visual Relationship Recognition with Large Vocabulary, ICCV, 2021, Sherif Abdelkarim, Aniket Agarwal, Panos
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for computer vision and audio-visual AI, enabling award-winning technologies for content production in TV, film, games and immersive entertainment. In 2021, CVSSP founded Surrey’s Institute for People-centred
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. Additional Qualifications: Experience writing for diverse audiences. Some editorial experience, in print or digital publications. Digital skills, including mapping and visualization software and Linked Open
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Engineering in the 2025 QS World University Rankings by Subjects. The EEE Rapid-Rich Object SEarch (ROSE) Lab focuses on research in: (i) visual search & retrieval, (ii) video analytics & deep learning, and
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enabling precise visualization of biological processes at the molecular level. Working in close collaboration with scientific partners, the project aims to refine and optimize trapping methodologies