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safety. The goal of this PhD project is to increase knowledge of thermodynamic and material processes in marine hydrogen propulsion systems and to develop predictive models that ensure safe and efficient
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the real world based on a seamless combination of data, mathematical models, and algorithms. Our research integrates expertise from machine learning, optimization, control theory, and applied mathematics
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Industrial Engineering, with specialization in hydrogen supply systems,you will join a research group dedicated to large-scale hydrogen supply and storage systems. The aim is to develop thermodynamic models
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and computer 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
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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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signals reshape the spatial organization of proteins in human adipocytes and how these changes regulate lipid metabolism. Using human adipocyte models, the student will first generate global maps of hormone
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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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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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Algebra (7.5 credits), Foundations of Analysis (7.5 credits) and Complex Analysis (7.5 credits) as well as a degree project amounting to at least 15 credits, or equivalent. Selection The selection among
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You will be placed at the Human-Centred Systems division in the group of Knowledge Modelling and Cognitive Systems, as part of the Linköping University Semantic Web group. The Semantic Web group conduct