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of the Stack Team is to build a high-level, programmable, and automated software control of next-generation quantum networks based on quantum entanglement. This will enable the use of quantum network nodes in
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aspiring computer science researcher interested in deep neural networks? Do you want to understand the fundamental limits of machine learning? Then you have a part to play as a PhD candidate. By
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Job related to staff position within a Research Infrastructure? No Offer Description As a PhD-TA candidate, you will work on new distributed algorithms for large networks, in particular, computing
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Job related to staff position within a Research Infrastructure? No Offer Description Epidemic processes widely apply to biological and computer network viruses, to cascading failures in power grids
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Challenge: Developing non-Markovian theory on time-varying networks to enhance or prevent the spread in networks. Change: Adopting the theory of non-Markovian processes on networks. Impact: Robust
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second research phase with a focus on developing and applying concepts from network science to model the huge number of real-time interactions between software components and data sets and to enable
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within the Department of Electrical Engineering of Eindhoven University of Technology (TU/e), is seeking to hire an outstanding PhD candidate on 'Hybrid-Photonic Neural Networks on Chip'. We are seeking a
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concepts from network science to model the huge number of real-time interactions between software components and data sets and to enable monitoring and control. AI-based algorithms will be developed
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Would you like to play a part in pioneering data science methods that promote sustainability and reliability in AI? Are you eager to delve into the application of network science for unlocking the secrets
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Join the frontier of innovation in 6G: the future of mobile network technology! TU Delft’s Microwave Sensing, Signals and Systems (MS3) group and TNO’s (Dutch Organization for Applied Scientific