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machine intelligence, core areas of computer science that are increasingly unified by the central role of data. The new professor will contribute to the department's vision of Trustworthy and
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University of New Mexico’s Center for Advanced Research Computing (CARC), within the Department of Computer Science, seeks a full-time Postdoctoral Researcher to lead development of an open-source
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Job Description Are you excited about scientific AI and developing efficient computer vision methods for analysis of complex 3D scans of natural heritage samples? Join our interdisciplinary team as a
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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
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Scholar with strong expertise in computer vision, multimodal AI, machine learning, and/or agentic AI to help build the next generation of intelligent digital health solutions. You will work side by side
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, including discrete and continuous decoding of hand and finger activity Develop egocentric computer-vision methods for understanding hands, objects, hand–object interactions, contacts, affordances, and task
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Intelligence (AI) such as computer vision, navigation and planning. Some of your key responsibilities include: Developing software that can be deployed to UAVs. Carrying out research relevant to the above, in
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Who We Are SEI conducts research and development in software engineering, systems engineering, cybersecurity, and many other areas of computing, working to introduce private-sector innovations
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Who We Are SEI conducts research and development in software engineering, systems engineering, cybersecurity, and many other areas of computing, working to introduce private-sector innovations
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PhD Position - Efficient Long-Context Large Models for Vision and Vision-Language-Action Systems ...
Helmholtz Association of German Research Centres | Karlsruhe, Baden-Württemberg | Germany | about 18 hours agoautonomous systems. You will investigate efficient long-context models for computer vision and VLA systems and apply it to autonomous driving. The research will combine attention optimization, token