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King Abdullah University of Science and Technology | Saudi Arabia, | Saudi Arabia | about 5 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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-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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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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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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King Abdullah University of Science and Technology | Saudi Arabia, | Saudi Arabia | about 5 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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Max Planck ETH Center for Learning Systems | New Germany, KwaZulu-Natal | South Africa | 26 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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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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) English (United States) MY PROFILE / LOGIN > More Search Options Loading... Clear Create Jobalert Apply now » City: Berlin Date: Oct 6, 2026 Student Assistant Computer Vision/Deep Learning The
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to University and unit-level policies and procedures and safeguards University assets. Develop various machine learning and data mining models including deep convolutional neural networks (CNNs