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areas best match your interests. You would like to learn more about our institute? Get to know the Fraunhofer ITWM and gain insights into our Institute. (youtube.com) What you will do At our institute
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the social robot Supervision and advising of students in empirical studies with social robots (or eyetracking) You bring with you: B.Sc.-degree in computer science, computer linguistics, data science and AI
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or Python Machine learning methods (for the baseline prediction for the reward funds) is beneficial We expect: Strong motivation to contribute to policy-relevant research Strong interest in teamwork and
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experience in wireless communications > 1 years of experience working with 5G or 6G wireless Strong background in wireless communication with emphasis on physical layer communication protocols, machine
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with emphasis on medium access layer protocols (MAC), machine learning and LTE/5G procedures Excellent analytical understanding and research skills Creative thinking and interest in new technologies Self
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years of experience working with IEEE WiFi standards Strong background in wireless communication with emphasis on medium PHY or MAC, machine learning and WiFi procedures Excellent analytical understanding
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Machine learning Experience is ideally shown through a thesis, seminar papers, or scientific publications. Alternatively, excellent grades in a respective Master’s programme. Strong intrinsic motivation
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research areas. New insights and synergetic effects resulting from collaboration between inherently different viewpoints of separate fields typically accompany this endeavour. Our task force on machine
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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! What
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applied electroacoustics and audio engineering, AI-based signal analysis and machine learning, and data privacy and security. At the headquarters, on the campus of “Technische Universität Ilmenau