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science, connected to MDU’s existing research areas. The PhD project focuses on the development of a large language model (LLM)-based AI agent specialized in energy decision-making, including: development of AI models
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flow, fluid dynamics, and sustainable energy systems. The research focuses on developing new methods to study and model multiphase flows as key phenomena in energy and industrial processes. The work
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industrial and academic partners. The work constitutes an integral part of research activities within several projects on flight electrification at FEC. Modelling and simulation of hybrid-electric aero-engine
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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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to healthcare professionals across the Baltic Sea Region. Design and contribute to a sustainability plan and business model to secure impact beyond the DEAHL project. Project coordination and administration
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environment. Your main duties will include: Teaching and course responsibility in energy engineering, with particular focus on thermodynamics, heat transfer, fluid mechanics, and process modelling, within our
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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
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learning will be offered in-house training within two and a half years. The requirements regarding training in higher education teaching and learning at Mälardalen University correspond to ten weeks of study