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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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multidisciplinary research in energy markets, optimization, game theory, and machine learning. Our team of 13 members (link ), from 10 different nationalities, values diversity and includes experts from a range of
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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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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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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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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
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(density functional theory and ab-initio molecular dynamics simulations) with artificial intelligence techniques to parameterize machine learning force fields and kinetic Monte Carlo methods to model
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will organize several research-related activities, such as workshops and seminars throughout the project period. The work is supposed to empirically test hypotheses rooted in economic theory. The center
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, theory, and methods of the PhD project is up to the candidate. It is highly recommended that interested candidates contact one of the project leads to discuss their PhD proposal prior to application