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from manufacturing sensors and XR headsets (video, audio, motion). This includes building multimodal AI pipelines, generating procedural representations, and contributing to the integration of real-time
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through sensors, information and knowledge, and forming intelligent systems-of-systems. The vision of WASP is excellent research and competence in artificial intelligence, autonomous systems and software
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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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. Presently around 100 people, including 35 PhD students and 15 postdocs, in 25 research groups work at DEEP. For more information about us, please visit: the Department of Ecology, Environment and Plant
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. Presently around 100 people, including 35 PhD students and 15 postdocs, in 25 research groups work at DEEP. For more information about us, please visit: the Department of Ecology, Environment and Plant
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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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and autonomous systems acting in collaboration with humans, adapting to their environment through sensors, information and knowledge, and forming intelligent systems-of-systems. The vision of WASP is
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through sensors, information and knowledge, and forming intelligent systems-of-systems. The vision of WASP is excellent research and competence in artificial intelligence, autonomous systems and software
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senior researchers and will also include three PhD students and newly recruited postdocs. As a PhD student, you will be part of the interdisciplinary research group and participate in the WASP-HS national