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into electric propulsion systems, composite materials, and advanced simulation technologies. Vision We are seeking a highly motivated PhD student to join our interdisciplinary team to help address critical
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on developing an advanced, AI-integrated methodology for the design of Large Underground Structures (LUS), addressing the limitations of traditional empirical approaches. These structures are critical to sectors
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. The developed new knowledge will assist performance designs, analysis, operations, and condition monitoring of sCO2 power generation systems. The project will be undertaken using the strong thermodynamic
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interdisciplinary, applied research with expertise in visualization, design, computer graphics, and the learning sciences. The research nexus for the division is the Visualization Center C, a unique science center in
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systems for measurement processes, or innovative hardware and software for quantum computers and quantum sensors: we develop tomorrow’s technology in-house for a sustainable and secure society. When will
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the coupled effect on supersonic combustion. This data can then help support future design efforts, which requires validation data where the effects of thermal warpage can be included. To achieve
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full-time employment at the Department of Computer Science and Engineering at Chalmers University of Technology, and based in Gothenburg, Sweden. The student will form a part of a new NEST initiative
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Project. This project supports a larger research program aimed at improving literacy and mental health outcomes in young people through individualised care, school-based programs, and digital health
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candidate will be in the lead to develop organisational principles and action perspectives that help infrastructure agencies to collaboratively maintain our roads, bridges, waterways, electricity networks and
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We are currently offering a PhD student position focused on developing new AI-driven methods for molecular engineering, with an emphasis on the discovery and design of solid polymer electrolytes