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Job Description Are you excited about scientific AI and developing efficient computer vision methods for analysis of complex 3D scans of natural heritage samples? Join our interdisciplinary team as a
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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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. 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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, smart multi-camera networks, computer vision, sensor fusion, and (medical) imaging. This project is in close collaboration with the Radiation Physics research group at the Center for X-ray Tomography
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doing basic research in areas such as: AI for Science, AI Safety, Bio-inspired Robotics, Biomechanics, Causal Inference, Computational Biology, Computer Graphics, Computer Vision, Control Systems, Deep
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computational or data sciences and their applications in computer science, economics, sociology, political science, international relations, political economy, communications, public policy, law and legal
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materials, actuated by muscle and powered by chemical energy. Perception and Computer Vision: 3D reconstruction, object recognition, and scene understanding that give robots reliable perception of
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in fields related to computational or data sciences and their applications in computer science, economics, sociology, political science, international relations, political economy, communications
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Requisition Id 16411 Overview: The Analytics and AI Methods at Scale (AAIMS) group in the National Center for Computational Science (NCCS) is hiring a Research Scientist to advance the frontier of
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, including GeoAI, generative AI, LLM-enabled workflows, computer vision, and model selection, tuning, and evaluation in interdisciplinary research settings. 2. Fluency with modern computational environments