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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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PhD Position: Activating Heritage as a Mediator for Dialogue and Belonging in an Era of Polarization
, and organizational skills Developed conceptual capacity and analytical skills, such as the ability to critically engage with heritage theory, migration studies, and participatory or arts-based
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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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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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include Master’s-level in Mechanical Engineering, Aerospace Engineering, Control Engineering, Wind Energy, or a closely related field. Strong background in control theory, fluid dynamics, structural
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writing skills. Collaborative and organisational skills. For this position, your command of the English language is expected to be at C1 level. Prior to the interview you will asked to submit a short
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analytical frameworks grounded in Mean Field Game (MFG) theory and Multi-Agent Reinforcement Learning (MARL), which are tailored for eCPS. These frameworks will facilitate the creation of effective control
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programme No Joint degree / double degree programme No Description/content The interdisciplinary research activities, from which you can choose a topic for your doctorate, are centred on theory and modelling
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understanding covalent bonds is based on the ever-increasing availability of novel (functionalized) molecular motifs and the remarkable advances in spectroscopy and theory. Controlling homolytic bond dissociation
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assets, in combination with other types of power system assets (batteries, etc.). From a research perspective, this can involve techniques from algorithmic game theory and AI-based mechanism design