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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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This postdoctoral position focuses on securing large-scale distributed AI systems against network-based threats. The research will explore network attack surfaces in distributed AI, assess
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Join us in shaping the future of 6G networks through cutting-edge research at the intersection of artificial intelligence, cloud systems, and next-generation communication infrastructures. In
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combination with machine learning and/or data mining techniques • Explainable AI/ML using visualization • AI/ML-empowered visual analytics of multivariate networks (network embeddings, …) • Large Language Model
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Tick-borne Bacteria is part of the Swedish Laboratory Network in Microbiology (SLIM) coordinated by the Public Health Agency of Sweden. NRL's mission is to provide primary and confirmatory diagnostics
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of progenitor-to-tumor cell niche transitions, focusing on the esophageal epithelium. Duties The current project will be centered around characterizing changes in local cell-cell networks during early esophageal
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and programming are highly meriting, especially in gene regulatory networks, machine learning, and bioinformatics tools. Expertise in CRISPR-based assays, especially CRISPR screening, is highly meriting
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the Competence Centre for Catalysis (KCK) and the Chalmers Area of Advance Energy, which provide strong networks and resources for your research. Project overview The project aims to explore new catalytic
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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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research, often in collaboration with industrial partners. The project is part of the Competence Centre for Catalysis (KCK) and the Chalmers Area of Advance Energy, which provide strong networks and