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in the process of societal change. Our common direction is driven by consideration for green and sustainable change and equitable social development, through new ways of managing natural resources and
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background in at least one of the following areas: renewable energy sources, power systems integration, energy technology management, or smart grids. Experience in development of mathematical meta-models
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, the Norwegian Directorate for Higher Education and Skills (HK-Dir), the EU, and others. Responsibilities Project Description In this position, you will explore how learning-based control (data-driven control
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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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. Integreat develops theories, methods, models, and algorithms that combine data with general or domain-specific knowledge, helping lay the foundations for the next generation of machine learning. Integreat
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artificial intelligence (AI) and an increasingly important force in a digital and data-driven world. Integreat develops theories, methods, models, and algorithms that combine data with general or domain
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research, and sustainable societal development. Research objectives The postdoctoral project addresses a fundamental scientific challenge: how heterogeneous research data, models, and knowledge
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This PhD project focuses on developing formal methods and knowledge representation techniques for the modelling and analysis of complex manufacturing and intralogistics systems, such as highly automated
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About the Position: 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
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modelling and supporting the robust operation of future hybrid power solutions. Project proposal As an applicant, you must prepare a preliminary project proposal for a doctoral project within the research