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work. A model is to be developed to estimate the material mass breakdown for various cell designs and cell formats. The model will be validated from teardown analysis of commercial lithium-ion battery
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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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. Theoretical spectroscopy By combining quantum mechanical calculations with kinetic modeling, our team bridges length and time scales, addressing complex challenges in energy research. About the research project
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calculations with kinetic modeling, our team bridges length and time scales, addressing complex challenges in energy research. About the research project Energy-efficient catalytic synthesis of hydrogen carriers
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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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organization and the energy of the future. Our work takes place in collaboration and in strategic agreements with companies, organizations and authorities in the region. Employment information Employment
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Biomedical Science working on molecular modeling of proteins and lipids to investigate biomolecular condensates at cell membranes. Project This PhD project investigates how proteins interact and organize
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twins, semantic modeling, secure data exchange, and reconfigurable production architectures. The research will also be carried out in LTU’s AIC³ Lab, an advanced test environment for future industrial
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are industrial economics and organization and the energy of the future. Our work takes place in collaboration and in strategic agreements with companies, organizations and authorities in the region.Employment
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distributed manufacturing, -develop semantic models and apply model-driven engineering for reconfigurable system architectures, -implement decision-support tools for energy-aware planning, predictive