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frameworks of star formation. Our research team is active in a number of international collaborations and the position includes ample possibilities for building collaborations and networking. Who we
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systems against network-based threats. The research will explore network attack surfaces in distributed AI, assess their impact on system reliability and trustworthiness, and develop cross-layer defenses
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for self-deployable 6G networks in the edge continuum (EC-DEPLOY-6G) pioneers the use of large language model–driven agents to autonomously configure and deploy 6G and cloud functions. The project leverages
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functioning of living organisms. We develop technologies that contribute to human health and biosustainability. About the research project The Doctoral students will join the Marie Curie Training Network Bug-ID
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division at CLS (Division of Language and Communication ), but also within the broader scope of Chalmers and through our strong national and international research networks. As a doctoral student, you will
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experimentation to address one of the most critical challenges in modern energy systems, maintaining stability in an increasingly converter-dominated power network. The project will be carried out in close
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researchers, in dynamic and outstanding research environments, as well as in national and international research networks. At the Division of Materials and Manufacture, we work across the entire value chain
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postdoc, you will collaborate with a network of theoretical and experimental physicists at Chalmers and with international partners in the FLAG-ERA project ThinQ. You will also have the opportunity
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, international research community and network. This project aims to develop skills for an autonomous mobile robot to perform complex manipulation tasks. Our goal is to enable continuous learning, allowing