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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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of transfer learning on time-series holds significant potential. By converting heat pump time-series data into image formats, we can leverage pre-trained vision models to improve fault detection accuracy
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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
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Student assistant (m/f/d)-Multi-Modal Sensor Fusion, Object Detection in Clutter and Object Tracking
bring to the table Enrolled student High motivation and initiative Very good English language skills Experience with Isaac Sim / Lab Experience in computer vision and deep learning is an advantage
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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 | 27 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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Student Assistant (m/f/d)- Software Development for Cutting-Edge Autonomous Outdoor Robot Navigation
or similar, currently enrolled in bachelors or masters program Some experience with C++ and Linux Experience with the following is a plus: ROS 2, computer vision, pointcloud-processing, machine learning
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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