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of computer vision and deep learning for advanced air mobility. Immerse yourself in innovative research fields, including: 2D semantic/panoptic (video) segmentation and object recognition 3D semantic/panoptic
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time systems development C/C++/C#, Python, OpenCV, PyTorch and deep learning would be advantageous. What we can offer The University of Surrey is a global university with a world-class research profile
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Description The Deep Learning laboratory in the Division of Science, New York University Abu Dhabi, seeks to recruit a research assistant to work on Deep Reinforcement Learning (DRL). The successful
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) on Foundation Models and/or Deep Learning for Imaging Problems. The Professorship for Machine Learning at TUM works on machine learning, artificial intelligence, and information processing. The current focus is
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 1 month ago
wildland-urban interfaces— across a wide range of climate conditions. Using machine learning methods, we will optimize the weightings of each contributing factor and identify the key drivers of wildfire risk
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wildland-urban interfaces— across a wide range of climate conditions. Using machine learning methods, we will optimize the weightings of each contributing factor and identify the key drivers of wildfire risk
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, driving applications such as 3D reconstruction, SLAM, visual localisation, and more. Recent advances in Deep Learning (DL) have led to significant improvements over traditional hand-crafted methods
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learning algorithms. This PhD project will explore in-depth the power of cutting-edge deep learning techniques in image understanding, segmentation, classification and change detection, and develop