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Agentic AI is an emerging technology that fundamentally changes product development and evolution. We seek to study the implications of Agentic AI with the intent of accelerating the adoption
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to optimally prepare it for use in AI-driven systems and solutions. About us The Department of Computer Science and Engineering at Chalmers and University of Gothenburg in Sweden with approximately 300
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system. Project overview To limit noise and vibrations from railway traffic, infrastructure managers need effective tools to monitor the acoustic quality of tracks. A key parameter is rail roughness, which
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at the Division of Fluid Dynamics, within the Department of Mechanics and Maritime Sciences at Chalmers. The project is carried out in collaboration with Vattenfall Research and Development, and is part of
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urban planning. Research environment This PhD position is part of the Sustainable Urban Water and Environmental Engineering (SUWEE) research area within the Department of Architecture and Civil
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PhD Position in Theoretical Machine Learning – Understanding Transformers through Information Theory
environment You will join the Communication Systems (CS) group within the Division of Communications, Antennas, and Optical Networks (CAOS) at the Department of Electrical Engineering . The group includes nine
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experts, systems engineers, natural and social scientists carrying out research on solutions to major environmental challenges. We also collaborate with international organizations within both academia and
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-world environments. Division of Energy Technology, known for its longstanding expertise in energy systems analysis and methodological development. The division hosts a collaborative team of senior
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academia, working with semiconductor technology development, circuit design, and the realization of complete system demonstrations. Qualifications To qualify, you should hold an M.Sc. degree or a four-year
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and resource limitations. This is done using a systems approach that includes not only technology but also actors (organizations, groups, and individuals) and natural systems in our analyses