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will build on research that detects different types of uncertainty in deep neural networks, and we will connect this uncertainty to interactive data collection, e.g. in the form of a dialogue with the
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Jaguar Land Rover, this research proposes the Ring Probabilistic Logic Neural Network (RPLNN). Unlike opaque deep learning models, the RPLNN fuses neural computation with probabilistic logic rules within a
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addition, Coming to Delft Service organises events to help you settle in the Netherlands, and expand your (social) network in Delft. A Dual Career Programme is available, to support your accompanying
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/edge computing. You have at least basic programming skills (e.g., Python, C/C++, or similar). You have good analytical and problem-solving abilities. You have knowledge of 5G or beyond-5G network
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One of the essential networks for society is water distribution networks. The delivery of water to customers is affected through different threats to the system. These include failure of components
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geolocated social media data, and computational techniques from network science and machine learning. It is interdisciplinary, combining theories of healthy and accessible cities with computational data
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of Contract Temporary Job Status Not Applicable Hours Per Week 38.0 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a
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support massive Internet-of-Things (IoT) deployments through technologies such as network slicing. At the same time, the emergence of large-scale quantum computing poses a significant threat to current
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for improving engagement in other settings. The evidence developed through this programme of research will support the development of innovative, network-informed strategies to increase men’s uptake
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wide differences within human gut bacteria species in early childhood. Our goal is to improve the understanding of adaptive mechanisms employed by different gut bacteria at a high resolution to guide