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methods into scalable real-world applications. Collaborate Across Disciplines Partner with experts in child development, psychiatry, engineering, computer vision, and machine learning. Contribute to
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Geospatial Artificial Intelligence (GeoAI) under the supervision of Dr. Wenwen Li. The successful candidates will work at the intersection of cutting-edge AI (e.g., computer vision, generative AI, large
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King Abdullah University of Science and Technology | Saudi Arabia, | Saudi Arabia | about 21 hours ago
, computer vision, and natural language processing. You will have the opportunity to boost your career development and training, read more here . Post-docs receive highly competitive salaries and other
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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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Associate Positions AI-Driven Software & Systems Research The newly established Intelligent Software & Systems Center (ISC) in the College of Engineering at Purdue University invites applications for a
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University of California, Los Angeles | Los Angeles, California | United States | about 12 hours ago
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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King Abdullah University of Science and Technology | Saudi Arabia, | Saudi Arabia | about 21 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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Lab researches on a variety of computer systems topics including HPC resilience, data center power management, large-scale job scheduling and performance tuning, parallel storage systems and
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development, implementation, and evaluation of machine learning, computer vision, and other algorithms, primarily in the context of health. They will be part of the thriving research community of Duke
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proposed (not limited): Computer Vision / Remote Sensing for Agriculture: Explore the application of computer vision and remote sensing techniques to enhance data-driven decision-making, adaptability