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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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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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Max Planck ETH Center for Learning Systems | New Germany, KwaZulu-Natal | South Africa | 17 days ago
for Science, AI Safety, Bio-inspired Robotics, Biomechanics, Causal Inference, Computational Biology, Computer Graphics, Computer Vision, Control Systems, Deep Learning, Digital Humans, Earth
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: Ongoing master's studies at TU Wien in the field of Geodesy and Geoinformation, Computer Vision/Image Processing, Computer Science, Physics, Mathematics or similar Good knowledge in computer vision
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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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King Abdullah University of Science and Technology | Saudi Arabia, | Saudi Arabia | about 9 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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. Your qualifications You have graduated at Master’s level in computer science and engineering, applied mathematics, applied physics, or electrical engineering, or completed courses with a minimum of 240
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society. The Center for Vision, Automation & Control located in Vienna (Giefinggasse, 1210) invites applications for a master thesis. Within the Center for Vision, Automation & Control , the Competence
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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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UTB | about 1 month ago
Humanities and Digital Sciences Research Center for Cognitive Science and Artificial Intelligence is looking for a PhD researcher on AI-assisted reverse engineering of integrated circuits (1 FTE