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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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/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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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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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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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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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 3 months ago
of Engineering. Key responsibilities include the design and implementation of novel AI-driven goal-oriented semantic communication strategies, signal processing algorithms, performance optimization methods, and
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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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Cornell research community in AI, energy systems, and optimization. Mentor graduate students, co-author high-impact publications, and present at major conferences. Engage with industry partners, utilities
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, process optimization, and project management. Key Responsibilities Lead and manage applied food processing related research projects in collaboration with Principal Investigators, Co-PIs, and industry