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: Advancing Explainability for Time Series AI Forecasting in Mobile Networks, IEEE INFOCOM 2024 [7] S. Alcala-Marin, A. Bazco-Nogueras, A. Banchs, M. Fiore, kaNSaaS: Combining Deep Learning and Optimization
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Job Description Are you interested in working at the intersection of optimal control, AI algorithms, and game theory, on problems that matter for real-world critical infrastructure? This PhD
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) for measuring the quality, shape and the neutron focusing performance of the Wolter optics. The work will be performed in close collaboration with a postdoc who will work on simulating the optimal design of
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presentations, and interdisciplinary collaboration. We offer Excellent supervision and optimal professional and interdisciplinary qualification through our HIGRADE graduate programme The freedom to master even
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-chemical properties similar to conventional kerosene, their combustion behavior can differ significantly, requiring adjustments and optimization of current gas turbines (GT). In this context, numerical
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-efficient processing capabilities. MINDnet aims at addressing the challenge through a holistic optimization - from individual computing devices to the overall architecture, including a focus on applications
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to efficiently transform biochar into battery-grade hard carbons with controlled characteristics and optimized electrochemical performance. The use of microwave plasma carbonisation will allow
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the schools other career-related programming and initiatives. The Assistant Director will optimize seamless student support by documenting student meetings and verbal conversations in our Career Management
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What’s the Project About? Speech is a highly variable signal that is often recorded in complex environments and under sub-optimal conditions. The information contained in a recorded speech signal is
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– Optimizing industrial-scale blue hydrogen production with liquid carbon capture enabling maritime logistics chains” in collaboration with SINTEF Energi AS, SINTEF Nordvest AS, Gassco AS, Aukra kommune