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- Delft University of Technology (TU Delft); 16 Oct ’25 published
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Stuttgart airport via train lines and busses. It is known for its vibrant student life, cultural events, historical architecture and beautiful nature. The University seeks to raise the number of women in
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of 1) system-level co-design of architecture, functionality and performance, and 2) leverage system models to monitor and understand operational behaviour of systems and act upon irregularities
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will also be provided. Overview This project will develop an adaptable Machine Learning (ML) hardware architecture to solve Artificial Intelligence (AI) classification tasks using Internet of Things (IoT
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cultural heritage, the programme spans a wide range of scientific domains, including architecture, anthropology, arts and culture, computer science, history, literature, linguistics, management, and more
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-sectoral research that addresses any aspect of cultural heritage. While rooted in cultural heritage, the programme spans a wide range of scientific domains, including architecture, anthropology, arts and
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an adaptable Machine Learning (ML) hardware architecture to solve Artificial Intelligence (AI) classification tasks using Internet of Things (IoT) sensor data. This will be a small system-on-chip designed
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, international and inter-sectoral research that addresses any aspect of cultural heritage. While rooted in cultural heritage, the programme spans a wide range of scientific domains, including architecture
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, the programme spans a wide range of scientific domains, including architecture, anthropology, arts and culture, computer science, history, literature, linguistics, management, and more. Selected candidates will
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aspect of cultural heritage. While rooted in cultural heritage, the programme spans a wide range of scientific domains, including architecture, anthropology, arts and culture, computer science, history
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reference architecture for data visiting. This paradigm enables algorithms to securely access and process data within the environments where it resides, supporting federated learning for training machine