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. Project description Resource-Efficient On-Device AI/ML for IoT Systems This PhD project investigates resource-efficient multimodal machine learning for intelligent Internet of Things systems. It
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the research group led by Associate Professor Theodora Kontogianni in the Visual Computing Section at DTU Compute. Our research investigates how intelligent systems can perceive, understand, and
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, information and knowledge, and forming intelligent systems-of-systems. More about WASP (wasp-sweden.org). The primary duties of the doctoral student positions are to perform research and teaching within the
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role As an RDS at the Ubiquitous and Intelligent Systems (UBIX) Research Group, you will assist a senior researcher in developing prototypes and conducting experiments in collaboration with Luxbotix