55 computational-physics "https:" "https:" "https:" "https:" "Masaryk University Faculty of Science" PhD positions at Aalborg University
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Design, Department of Computer Science, we invite applications for a PhD position in Human-Robot Interaction in Healthcare within the Technical Doctoral School of IT and Design. The position offers a
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system design. Hardware security or cyber-physical system security concepts. Experience with embedded platforms, FPGA development, or hardware-accelerated computing will be considered an advantage
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Do you want to be part of a young, dynamic research group working on designing the next generation of sustainable energy materials using computational chemistry and machine learning? And do you see
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Assistance in Complex Acoustic Environments within the general study programme Electrical and Electronic Engineering. The PhD Stipends are open from August 1, 2026, and the integrated PhD stipends are open for
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, a Ph.D. stipend is available within the general study program. The Ph.D. stipend is for 3 years. The workplace is at the Department of Chemistry and Bioscience in Aalborg, where you will become part
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of Computer Science, the Technical Faculty of IT & Design. We invite applications for two fully funded PhD stipends in the area of Natural Language Processing (NLP), Knowledge Graphs (KGs), and Large Language Models
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Do you have an interest in working at the intersection of glass science, computational chemistry, and materials science to develop fundamental understanding within a novel glass family? If yes, we
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collaboration with the Department of Computer Science at Aalborg University, combining socio-technical research on human-robot collaboration with technical research on interaction technologies and robotic systems
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to contribute to the groups ongoing work on integrating environmental issues into macroeconomic models with the purpose of providing an assessment of the financial stability and physical risks given
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of wind turbines. Despite remarkable progress in structural health monitoring boosted by AI, purely data-driven models have no physical interpretability and poor generalization capabilities. Thus