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the future of advanced air mobility through involvement in innovative drone-related projects that bridge technology, urban planning, material sciences, sensors and aviation. With the upcoming Smart Mobility
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This PhD project focuses on strengthening network security for large-scale distributed AI training. As training increasingly spans multiple data centers connected over wide-area networks, it
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that bridge technology, urban planning, material sciences, sensors and aviation. With the upcoming Smart Mobility Lab in Lusatia, Saxony, you will have access to state-of-the-art and extensive facilities
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collaborative project that spans multiple continents. You will contribute to the development of new chronobiological analytics on existing data, design experiments to collect novel chronobiological data, engage
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focusing on elucidating neural (e.g., EEG/ERPs, MRI), behavioral, and real-time markers (e.g., passive sensor data, EMA) of depression and suicidal behaviors in adolescents. The position is fulltime
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complex, involving multiple senders and receivers interacting simultaneously within a dynamic network. Social groups also exhibit preferred and avoided associations, creating heterogeneous social structures
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cutting-edge sensor technologies. Led by leading Para sport scientists and transdisciplinary academics, it collaborates with athletes, coaches, industry, ParalympicsGB and UK Sport Institute (UKSI) to
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. Development of multimodal AI models that fuse data from multiple types of sensors to accurately model and predict wind turbine blade damage. Establish and develop data science pipelines for wind turbine blade
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qualification (usually PhD). Tasks: scientific research related to the development of novel tactile sensors design and implementation of research Demos support of other functions of the lab as necessary
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monitoring. These applications rely on remote sensors to capture PCs and wirelessly transmit them to edge servers for downstream tasks, such as registration, i.e., aligning multiple PCs within the same 3D