53 computing "Computer Vision Center" "Computer Vision Center" Postdoctoral positions
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leadership- class computing for science and engineering; focuses on grand-challenge science and engineering applications; procures largest-scale computer systems (beyond typical vendor design points) and
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Requisition Id 16562 Overview: The Analytics and AI Methods at Scale (AAIMS) group at the National Center of Computational Science (NCCS) at the Oak Ridge National Laboratory (ORNL) is seeking
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Post-Doctoral Associate in the Division of Engineering (Electrical and Computer Engineering) Employer NEW YORK UNIVERSITY ABU DHABI Location Abu Dhabi, United Arab Emirates Closing date 27 Sep 2026
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infrastructure. Possible applications include the scaling of neutral-atom quantum computing through distributed computing, as well as new tests of fundamental physics, such as exploring the interplay
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-language model interaction. Proven track record in software research and interactive knowledge graph exploration tools. Background in Human-Computer Interaction (HCI), Human-Centered Computing (HCC), and
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-language model interaction. Proven track record in software research and interactive knowledge graph exploration tools. Background in Human-Computer Interaction (HCI), Human-Centered Computing (HCC), and
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science, biomedical engineering, applied mathematics, statistics, a quantitative biological discipline, or a related field. Demonstrated research experience in machine learning or computer vision
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to serve Morocco and the African continent. Its vision is honed around research and innovation at the service of education and development. This unique nascent university, with its state-of-the-art
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Post-Doctoral Associate in the Division of Engineering (Electrical and Computer Engineering) Employer NEW YORK UNIVERSITY ABU DHABI Location Abu Dhabi, United Arab Emirates Closing date 27 Aug 2026
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., near-miss detection, predictive crash risk, multimodal exposure estimation). · Design, implement, and validate AI pipelines (computer vision, tracking, spatio-temporal modeling, edge learning