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—remains a critical challenge. This project will focus on designing AI-driven cognitive navigation solutions that can adaptively fuse multiple sensor sources under uncertainty, enabling safe and efficient
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that may remove such constraints, leading to a fundamental challenge: the potential co-existence of genetically distinct clones, each supporting multiple stable cancer cell states. To understand the effect
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the need for sustainability to achieve Net-Zero goals. Cyber-Physical Systems (CPS) integrate machines, robots, and AGVs, but challenges like mechanical wear and electronic errors pose risks to efficiency
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combine multiple techniques, picking those that complement each other. In particular the use of non-destructive techniques is important, avoiding unintentional sample modifications. Although such “hybrid
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independently managing multiple tasks while ensuring attention to detail, accuracy, and quality results Strong project management skills Experience developing study materials Ability to self-motivate and work
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. Empa is a research institution of the ETH Domain. Empa's Laboratory of Biomimetic Membranes and Textiles is a pioneer in physics-based modeling at multiple scales. We bridge the virtual to the real world
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-matter physics, and materials science. Our research encompasses three research areas of new approaches in precision synthesis of PCL (A), PCLs’ properties and functions (B), and Experimental and
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-matter physics, and materials science. Our research encompasses three research areas of new approaches in precision synthesis of PCL (A), PCLs’ properties and functions (B), and Experimental and
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, condensed-matter physics, and materials science. Our research encompasses three research areas of new approaches in precision synthesis of PCL (A), PCLs’ properties and functions (B), and Experimental and
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This PhD project focuses on strengthening network security for large-scale distributed AI training. As training increasingly spans multiple data centers connected over wide-area networks, it