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materials. This class of materials has unique properties which make them promising candidates for next-generation electronic devices, energy storage systems, sensors, and catalysts. However, they also pose
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candidates for next-generation electronic devices, energy storage systems, sensors, and catalysts. However, they also pose unique challenges from a machine learning perspective, calling for novel machine
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. The program addresses research on artificial intelligence and autonomous systems acting in collaboration with humans, adapting to their environment through sensors, information and knowledge, and forming
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collaboration with humans, adapting to their environment through sensors, information and knowledge, and forming intelligent systems-of-systems. The vision of WASP is excellent research and competence in
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. Our research integrates expertise from machine learning, optimization, control theory, and network science, spanning diverse application domains such as energy systems, biomedical systems, material
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receive the benefits of support in career development, networking, administrative and technical support functions, along with good employment conditions. More information about the department is available
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. Mobile computing enables continuous Internet access for computing devices (such as laptops, smartphones, and sensors) via a multitude of access networks, including 5G, with maintained service availability
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. Mobile computing enables continuous Internet access for computing devices (such as laptops, smartphones, and sensors) via a multitude of access networks, including 5G, with maintained service availability
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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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interdisciplinary research. Systems development may include, for instance: advanced materials, surfaces and fabrication; distributed sensors and actuators; quantum and photonic systems and interactions