Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
fusion and multirobot coordination, including multirobot perception, decentralization and mission execution. The RAI team has a strong European and National participation in multiple R&D&I projects. Duties
-
students and senior researchers from multiple disciplines to tackle challenges in sustainable aluminium through AI-driven microstructural analysis. The NEST-WISE project offers a vibrant collaborative
-
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
-
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
-
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
-
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
-
. Updated information about the recent activities of SPARC can be found here: www.radarmimo.com/ . The group has been working on mmWave radar sensors in different applications, including automotive, indoor
-
applications, such as wireless and wireline communications, satellite systems and high-accuracy radars and sensors for industrial automation. Multiple research associate / PhD candidate positions are available
-
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
-
complex, involving multiple senders and receivers interacting simultaneously within a dynamic network. Social groups also exhibit preferred and avoided associations, creating heterogeneous social structures