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quantum optimal control and related methods, and research experience with ultracold atoms. Applicants should have practical problem-solving skills, independence of thought and initiative, the ability
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UiB", funded by the Trond Mohn Foundation and the University of Bergen, will serve as a hub for excellence in quantum research and foster new collaboration. The Quantum Oscillator Networks
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of AI-based decision quality. ; ; The main objectives of the Fellowship are:; 1) Apply reinforcement learning algorithms to optimize electrical networks considering energy transition challenges.; 2
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PRESENTATION OF THE WORK PROGRAMME AND TRAINING: • Review the state of the art on transparent metasurfaces, Reconfigurable Intelligent Surfaces (RIS), and transparent conductive technologies based on metal-mesh
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/haptics, and computing into textiles and wearables. • Develop and optimize embedded systems, including firmware development. • Implement and test wireless and wired communication for distributed
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physical latency limits and human perceptual tolerances. The work will comprise designing networking and computing architectures that integrate prediction and control algorithms, optimizing data
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development, characterization, and commercialization of 2D amorphous carbon materials for advanced semiconductor and related industrial applications. The candidate will: • Develop and optimize wafer-scale UV
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period of 3 years. The position is subject to external financing through the RCN funded project "Quantum Oscillator Networks for Optimisation and Machine Learning" (project number 358752). About the
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partitioning for parallel/distributed AI/ML Optimization of process-to-process communication in parallel/distributed AI/ML Enhancement of AI/ML with in-network computing & processing Adaptation & optimization
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. This project aims to develop and deploy advanced AI-driven learning, prediction, and decision-making tools to transform millions of plug-in electric vehicles (EVs) into a vast, distributed network of mobile