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Field
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Design, Software Engineering, Computer Engineering, Robotics, Autonomous Systems or comparable. Contact-rich tasks in assembly often involve complex physical interactions and high sensitivity to parameter
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interpretability. The primary objective of the thesis is to integrate explainability-driven approaches into the training pipeline. These approaches can be based on 3D uncertainty estimation to identify specific
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Max Planck Institute for Intelligent Systems, Tübingen, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | about 2 months ago
computer vision algorithms into the NICE Toolbox. Assist with testing, evaluation, and optimization of implemented computer vision methods. Provide basic user support for researchers using the NICE Toolbox
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Heidelberg Institute for Theoretical Studies (HITS gGmbH) | Heidelberg, Baden W rttemberg | Germany | 3 days ago
research institute. HITS conducts basic research in the natural, mathematical and computer sciences with a focus on the processing, structuring, and analyzing of large amounts of complex data and the
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approaches include data-driven parameter estimation for white-box models, the development of black-box models using machine learning methods (e.g., neural networks) and their combination (grey-box). The thesis
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, motion tracking, and computer vision methods, we study both typical development (with a strong focus on adolescence) and atypical social behaviours in clinical populations to improve the understanding and
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for the acquisition, processing, and analysis of physiological signals and vital parameters (e.g., respiration, cardiac activity, motion) Application and advancement of methods in digital signal processing, statistical
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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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methods for handling heterogeneous control inputs, including human teleoperation commands and AI-generated control policies. Integrate existing AI-based controllers into the teleoperation framework and
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Processes or related probabilistic models) to infer user activity states from power signals Validate and benchmark your method against alternative classifiers on real building datasets Quantify and formalize