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vision models Experience with event-based cameras, neuromorphic vision concepts, spiking neural networks, and/or neuromorphic computing is a plus Experience with, or willingness to learn, ROS 2 for robotic
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, a unique opportunity opens up for you: Explore the potential of machine learning and computer vision to revolutionize autonomous flight systems. In close collaboration with leading industry partners
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existing technologies, right through to the tested prototype. The Data-based Methods team at Fraunhofer ENAS develops real-world applications using AI, machine learning and computer vision. The main focus is
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, computer vision, pointcloud-processing or machine learning is a plus Analytical mindset and experience in algorithm development Enthusiasm for mobile robotics Fluent in English or German What you can expect
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Max Planck Institute for Intelligent Systems, Tübingen site, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 3 days ago
reality, and medicine. Using unique 3D & 4D capture facilities, machine learning, computer vision, and advanced graphics, we are modelling every nuance of how humans and animals look and move. We develop
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Vision) for image data analysis. Data preparation, annotation, and training of models for structural recognition in biological and textile samples. Building automated pipelines for image analysis
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DWI Leibniz-Institut für Interaktive Materialien e.V. | Aachen, Nordrhein Westfalen | Germany | about 16 hours ago
cosmetics industries. Your tasks Development and implementation of AI/ML models (Deep Learning, Computer Vision) for image data analysis. Data preparation, annotation, and training of models for structural
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of intelligent monitoring solutions for laboratory animals. The goal is to use AI and computer vision to promote the 3R principles – in particular, the reduction of animal testing while increasing data density
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-efficient learning, uncertainty estimation, 3D vision. What you bring to the table Good knowledge in machine learning and computer vision Experience in programming with Python and familiarity with PyTorch
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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. The Applied Machine Learning (AML) group is part of the Department for Artificial