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focuses on a critical challenge: how to evolve classical communication networks to support both traditional data and the unique requirements of quantum information systems (https://www.classique.aau.dk
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Job Description DTU Electro invites applications for a PhD position in digital signal processing and machine-learning-enabled continuous-variable quantum key distribution (CV-QKD). The position is
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carbon electrodes developed in the network. You will leverage advanced data analysis methods such as Distribution of Diffusion Times to obtain insight into mass transfer and microstructural effects in
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spatial distribution of coupled cavities for photonic reservoir computing Validate the analysis on a small scale-circuit (< 10 coupled cavities) The doctoral candidate (DC) is expected to travel to network
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porous carbon electrodes developed in the network. You will leverage advanced data analysis methods such as Distribution of Diffusion Times to obtain insight into mass transfer and microstructural effects
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will contribute to developing intelligent agent that supervises energy-efficient compute offloading over distributed edge and cloud. The application deadline is December 12, 2025, 2025 at 11.59 PM
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porous carbon electrodes developed in the network. You will leverage advanced data analysis methods such as Distribution of Diffusion Times to obtain insight into mass transfer and microstructural effects