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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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Fraunhofer MEVIS is a world leading and internationally connencted research center for computer assistance in medicine. With about 140 employees, our mission is to conduct patient-centric research
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science, machine learning, and AI across the university cooperate and network, offering related training and services, and reaching out to the public. Your responsibilities: Develop and maintain
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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
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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
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Profile Areas Cluster of Excellence CMFI Cluster of Excellence iFIT Cluster of Excellence Machine Learning CIN LEAD Graduate School & Research Network Collaborative Research Centers Transregional
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Profile Areas Cluster of Excellence CMFI Cluster of Excellence iFIT Cluster of Excellence Machine Learning CIN LEAD Graduate School & Research Network Collaborative Research Centers Transregional
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, their achievements and productivity to the success of the whole institution. At the Faculty of Mechanical Science and Engineering, Institute of Manufacturing Science and Engineering, the Chair of Forming and Machining
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...) Data analysis combined with machine learning or AI-methods Device analysis with advanced characterization methods (Raman spectroscopy, AFM, electrical FET characterization...) What you will do