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marine management. In surveying and land use, sustainability is reflected in our efforts in nature restoration and climate adaptation. As society continues to develop digitally, we also focus
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: • Develop AI-driven control strategies for grid-forming inverters to enhance grid flexibility, reliability and stability. • Apply machine learning and AI tools for the battery system health estimation
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for publication and for developing an independent research agenda. Postdocs on the project will be part of an active and supportive research environment at Aalborg University, with close collaboration within
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The aim of the project is to develop a conceptual framework on solidarity and examine relevant cases to understand how solidarity with migrants is produced spatially, as well as outcomes, practices and
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. The objective is to develop models and algorithms that capture spatial variability, uncertainty, and communication constraints, and to understand how these factors influence perception, adaptation, and
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++) Knowledge of the fundamentals of ML/AI algorithms for communications and networking, and their implementation A creative mindset and curiosity to research and develop new solutions with highly skilled
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at the intersection of AI, RF, and wireless communication. Your main tasks include developing machine-learning methods for wireless interference detection, mitigation, edge intelligence, and applying AI to optimize RF
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Offer: Collaboration with Skilled Researchers: Engage with a team of highly talented and experienced researchers who are at the forefront of their fields. Personal and Professional Development: Benefit
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digital twins be used to provide on-line predictions as to the future expected evolution of these critical properties as the basis for safe reinforcement learning (RL) for on-line optimal control”. In
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advanced modelling, data analysis, and algorithmic development. Your tasks will support our core research focus of mathematical and computational approaches to design and implement solution algorithms, with