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King Abdullah University of Science and Technology | Saudi Arabia, | Saudi Arabia | about 15 hours ago
areas: computer vision, computer graphics, and deep learning. We require documented experience about computer vision, machine learning, deep learning or optimization, demonstrated by high-quality
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King Abdullah University of Science and Technology | Saudi Arabia, | Saudi Arabia | about 15 hours ago
machine learning, deep learning and computer vision (3) Experience in CCUS modeling with numerical reservoir simulators such as CMG, Eclipse, MRST or TOUGH-React (4) Experience in inverse modeling
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apply cutting-edge computational and AI approaches to large-scale human datasets. You will: - Build and apply machine learning and deep learning models to multi-scale (cells, brains, patients), multi
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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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Max Planck ETH Center for Learning Systems | New Germany, KwaZulu-Natal | South Africa | 28 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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interdisciplinary professional partners. Other duties as assigned. REQUIREMENTS: REQUIRED: PhD in in computer vision, machine learning, artificial intelligence, or a closely related field. Strong
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. Interacts with interdisciplinary professional partners. Other duties as assigned. REQUIREMENTS: REQUIRED: Master of Science (MS) in computer vision, machine learning, artificial intelligence, or a
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. Interacts with interdisciplinary professional partners. Other duties as assigned. REQUIREMENTS: REQUIRED: Master of Science (MS) in computer vision, machine learning, artificial intelligence, or a
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interdisciplinary professional partners. Other duties as assigned. REQUIREMENTS: REQUIRED: PhD in in computer vision, machine learning, artificial intelligence, or a closely related field. Strong
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in machine learning, with preference for expertise in representation learning, deep embeddings, contrastive learning, or foundation models. Solid background in linear algebra, probability, and