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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 California, Los Angeles | Los Angeles, California | United States | about 14 hours ago
record in AI, machine learning, computer vision, digital health, biomedical engineering, medical AI, or a closely related area. Expertise in one or more areas such as deep learning, computer vision
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Vision and Learning Systems at the Department of Electrical Engineering (ISY). Your work assignments Within the research unit of visual learning theory, the PhD student will develop methods for
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King Abdullah University of Science and Technology | Saudi Arabia, | Saudi Arabia | about 22 hours ago
and fluid properties in the subsurface formations. Therefore, the objectives of this research project include two aspects: (1) based on the cutting-edge technologies from deep learning, computer vision
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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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large-scale human data (genomes, single-cell and spatial omics, longitudinal biomarkers, computer vision, electronic health data) with cutting-edge AI, we aim to fundamentally transform Parkinson’s
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intersection of artificial intelligence, computational biology, and computer vision. It is designed for candidates excited about applying advanced AI methods to frontier problems in biology. We are seeking
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, School of Information, School of Kinesiology, College of Architecture & Urban Planning, and School of Art & Design to work on robot learning and foundational models, perception and computer vision
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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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transportation engineering with a focus on active transportation safety and artificial intelligence (AI). This interdisciplinary role emphasizes developing and deploying AI tools—especially vision-based and