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Field
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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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-enabled solutions to improve diagnosis, procedural planning, and outcomes in aortic disease. The ideal candidate will combine deep technical expertise in AI delivery (computer vision, machine learning
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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 Spark
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learning and/or computer vision libraries (e.g., PyTorch, TorchVision, OpenCV, scikit-learn). Familiarity with data handling and statistical analysis (NumPy, pandas, SciPy, Matplotlib) Preferred
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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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. Publish research results in leading journals and conferences in machine learning, computer vision, and computational imaging. Contribute to research-based teaching and supervision of MSc and BSc student
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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 | about 1 month 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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capabilities for government customers and stakeholders. Hands-on Prototyping: You’ll conduct and lead novel prototyping in applied artificial intelligence with a focus on machine learning in autonomy