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Field
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research should apply modern methods of robotics, such as stochastic and data-driven learning approaches, precise monitoring and control using microcontrollers (μC), or novel methods of image processing. In
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the recruitment of participants, MRI and behavioral data acquisition, data curation, data analysis and publication of the results. There are no formal teaching requirements. Additional responsibilities include
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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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based on LiDAR and/or camera data, predicting a realistic and/or conservative movement corridor and integrate this information efficiently into ROS2 costmaps. An important integration requirement lies in
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, assisting with preliminary book selection, proofreading, and seminar preparation. Supportive tasks: Conducting research, data analysis, preparing publications, and assisting with the organization
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motivated candidate with an interest in experimental cognitive neuroscience and experience in programming and data analysis. The position offers an excellent opportunity to pursue a doctoral degree in a
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Vacancy for fields of study such as: Automation Engineering, Electrical Engineering, Computer Science, Mathematics, Control Engineering, Software Engineering, Computer Engineering, Surveying
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optical communication networks and systems as well as the coding of video signals and data processing. Become a part of our team and join us on our journey of research and innovation! Be part of change
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on futuristic technologies in the field of machine learning and computer vision. Hence, we investigate and develop an innovative computation-in-memory (CIM) solution for artificial intelligence accelerator design
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an organized working style and highly developed teamwork skills. Applicants should be enthusiastic about scientific research in an international environment. Excellent documentation skills, computer literacy