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industry. In this project, you will develop game-theoretic AI frameworks by integrating Data-driven intelligence with principled decision structure for multi-agent decision making in energy systems. In
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production, storage, consumption, and market interactions. This transition is fundamentally reshaping the structure of energy networks, shifting from centralized control to distributed, prosumer-driven
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uncertain scenarios and will utilize and develop advanced AI-based control and management strategies capable of managing multiple voltage-regulating devices and DERs through scalable control structures
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. This transition is fundamentally reshaping the structure of energy networks, shifting from centralized control to distributed, prosumer-driven ecosystems where interconnected multi-agents interact strategically in
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Palmaria palmata, alongside the optimization of vegetative cultivation in land-based, fish farm effluent-based IMTA systems. The position is based in Trondheim, with experimental work carried out at NTNU and
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The position will be attached to the project “SURE-AI” (http://www.sure-ai.no/ ) funded by The Research Council of Norway, and lead by Simula Research Laboratory. The main focus of the research will be
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group Work Motivation and Optimal Functioning Participate in relevant courses in the doctoral program Be prepared for changes in your work tasks after appointment Where to apply Website https
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Complexity» (NewPC). About the project/work tasks The project aims to develop multivariate algorithmic and complexity tools for optimization problems involving geometric and algebraic objects such as points
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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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for a PhD fellowship in Predictive AI-Based Maintenance and Optimization of Building Energy Management Systems. aiD is one of the new Norwegian AI research initiatives, funded by the Research Council