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King Abdullah University of Science and Technology | Saudi Arabia, | Saudi Arabia | about 8 hours ago
to meet the goal of Paris Climate Agreement. For the purpose of GCS management, numerical simulators with coupled physics (flow/reactive/geo-mechanics/thermal) have been developed and often applied
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the opportunity to conduct high-impact research in computer vision for 3D volumetric images, contribute to widely used open-source software, collaborate with leading researchers in physics and natural
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particularly important. We welcome candidates from computer science, applied mathematics, physics, engineering, and related disciplines who are interested in combining modern learning methods with
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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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. 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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) in physics, engineering or computer science Proficiency in computer vision and machine learning with Python Knowledge of X-ray physics and laboratory experience in imaging would be a benefit Highly
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inresearching mobile and optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos.Become a part of our team and join us on our journey of research
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UTB | about 1 month ago
quantitative focus. Strong programming skills in Python and demonstrated experience with machine deep learning frameworks (for instance, PyTorch or TensorFlow), preferably applied to computer vision and
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UTB | about 1 month ago
quantitative focus. Strong programming skills in Python and demonstrated experience with machine deep learning frameworks (for instance, PyTorch or TensorFlow), preferably applied to computer vision and
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UTB | about 1 month ago
quantitative focus. Strong programming skills in Python and demonstrated experience with machine deep learning frameworks (for instance, PyTorch or TensorFlow), preferably applied to computer vision and