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Field
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, the project seeks to address key challenges such as alignment of objectives, heterogeneity in agent capabilities, and developing robust cooperation logic. Supervision: Professor Jonas Mårtensson The possibility
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Science at KTH Royal Institute of Technology and International Research Centre for Neurointelligence, University of Tokyo. The goal of the project is to develop mathematical models of the brain and use them
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journals and prepare you for a research career in academia and industry. Supervision: Prof. Emil Björnson and Prof. Vitaly Petrov What we offer The possibility to study in a dynamic and international
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physiology are encouraged to apply. You will be an integral part of the growing Intelligent Heart Technology Lab , whose mission is to advance cardiovascular health technologies. We develop implantable and
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turbine generators and energy storage systems. The aim is to develop robust control methods that enable reliable synchronisation and ensure that grid-forming wind farms can withstand and stabilise
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employing heterogeneous catalysts, with the aim of developing the next generation of reactors for CO₂ conversion. Emphasis will be placed on understanding the underlying chemical transformations and improving
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the purpose of developing a model to predict CRUD-composition and stability on the basis of water chemistry and thereby identify optimal conditions. We are looking for a person with a strong background in
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applications. Other topics include other new quantum symmetry-breaking and topologicallyordered states, unconventional phase transitions, and application of newly developed methods, such as Diagrammatic Monte
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societal sectors that have an impact? In this project, we explore the systems perspective on technology development in aging and the stakeholder perspective. We are looking for you who have both digital
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temperature thermal energy storage and integrated systems. The doctoral student will have a broad perspective focusing on technological development, laboratory testing and techno-economic analysis to identify optimal