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interdisciplinary competences in: communication theory, networking, information theory, physics, mathematics, computer science, and statistics. This PhD project falls under Research Thrust RT3 on representation
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volatility. CLASSIQUE is organized into four Research Thrusts that rely upon interdisciplinary competences in: communication theory, networking, information theory, physics, mathematics, computer science, and
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theory and empirical methods to answer health policy research questions and improve research methods. Our main research themes include health-related behavior, equity in health and access to healthcare
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development and generative AI tools is an advantage as is an interest in sustainable and ethical AI. You should be committed to producing research that not only advances theory but also benefits Danish society
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Danish master's degree) A strong motivation for advanced manufacturing and the ability to develop relevant theories and methodologies. Strong competencies in product assembly/disassembly, manufacturing
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should include suggestions for relevant research questions, theory and methods. The qualifications of applicants with non-Danish master’s degrees will be assessed to decide whether they correspond
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Gyrd-Hansen, Professor and leader of STEMBRACE, Ditte Caroline Andersen and collaborate with researchers from various institutes at SDU, Odense. At DaCHE, we apply economic theory and empirical methods
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, probability theory, and combinatorial optimization. Experience in decision-making under uncertainty and autonomous system operation. High level written and spoken English skills. You may obtain further
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: A master's degree in data science/AI, Mathematics, Electrical and Computer Engineering, or a related field. Strong background in machine learning, data science, and optimization theory. Desired
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for resilient manufacturing systems. This topic will build upon existing theory on modular and reconfigurable manufacturing systems and develop methods and model-based approaches to design and evaluate resilient