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products Development and application of machine learning and data analysis methods What you contribute Ongoing enrollment in food chemistry or food technology, chemistry, physics, engineering, molecular
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robot Imitation Learning for Humanoid Robots: robots learn fetch-and-carry tasks by imitating human demonstrations Teleoperated Monitoring with a Humanoid Robot: control and monitor a humanoid robot
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information sources (cameras, sensors, RTLS, HMI systems, robots) Management of context and world state (person, object, machine states) for care activities Implementation of authorization and verification
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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos.Become a part of our team and join us on our journey of research and innovation! Be
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Information Engineering Machine Learning and Data Science Embedded Systems and hardware-oriented development Modeling and simulation of complex systems Experience with Python, MATLAB, and/or C/C++ Strong
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manipulators is beneficial Strong programming skills in Python, C++ and experience with ROS (Robot Operating System) Experience with machine learning frameworks in particular PyTorch and reinforcement learning
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methods for the animation of 3D human avatars using Python and Pytorch Capturing of training data using Motion Capture Systems Setting up and evaluating experiments on machine learning model performance
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Future. Discover. Together. The Computer Vision & Graphics group of the Vision & Imaging Technologies (VIT) department is looking for a student assistant in the area of deep learning for scene
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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. Join our scientific team in the multimedia communications group in a key position in
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of laser technology—is offering the opportunity to write a thesis on the topic: »AI-based local quality prediction for laser powder bed fusion«. We are currently developing machine learning-based approaches