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and project teams to translate theoretical advances into practical, scalable computing systems. Job Requirements: PhD in Computer Science, Software Engineering, Distributed Systems, Cloud Computing
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). The project focuses on next-generation AI-native cellular systems and aims to develop distributed learning methods for real-time handover optimization at the network edge. The selected researcher will
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paradigms rely on a fragile "closed-world" assumption: that the unlabeled pool perfectly reflects the distribution of the labelled seed set. In real-world deployments, this is rarely true. Data streams
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We are looking for a Research Associate to help design collaborative and distributed AI for manufacturing sustainability, working across human, digital, and robotic agents. This role is part of a
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development for quantum key distribution and (2) TFLN circuit development for quantum enhanced precision measurements. This PhD project aims to further advance the nanofabrication of TFLN photonic circuits
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, and costs of running diverse applications in large-scale distributed systems. This project offers researchers and students a chance to explore cutting-edge concepts in AI-driven infrastructure
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hospital or population often fail when applied elsewhere due to distributional shifts. Since acquiring new labeled data is often costly or infeasible due to rare diseases, limited expert availability, and
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hydrothermal systems. The PhD work will be devoted to the investigation of the processes that control the magnetization and electrical conduction in basaltic rocks: effects of lithology, magnetic mineralogy
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student will work on a PhD project titled: “Distributed Intelligence for Cybersecurity in Industry 5.0 and Critical Infrastructures: From Data Fusion to Intelligence Fusion”. The aim of the project is to
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conduct world-class applied research. We change and make a difference. Do you want to become one of us? The PhD position is located within Department of Computer Science (DIDA) SDS (secure and distributed