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analysis. Personal Attributes We place great importance on personal suitability. To succeed in this role, you should demonstrate: A high sense of responsibility and integrity Strong analytical and problem
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studies which corresponds to four years. Position description We are seeking a PhD student to join our research team specializing in the analysis and modeling of multiphase flows. The research focuses
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of AI and machine learning methods for advanced modelling and analysis of energy and industrial processes Experience with high-temperature processes, particularly in metal and mineral processing
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combines: Fluid dynamics and heat transfer (theory and experiments), Computational modeling, and Machine learning / computer vision for data analysis and pattern recognition. The goal is to improve
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, power system analysis, as well as experience in modelling, simulation, or experimental work. Ability to work independently, in a structured and goal-oriented manner, both individually and in collaboration
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performance and environmental impact will be a key focus. The project also includes preliminary system design and mission analysis. A large part of the work will be conducted at – or in close collaboration with
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on the following criteria: Knowledge in electric power engineering, power electronics, and power system analysis Experience in modelling, simulation, and experimental work Proficiency in Swedish and English, both