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candidate will design algorithms that identify suspicious model updates, reduce the influence of compromised UAVs, and preserve useful learning from honest UAVs operating with different data and unreliable
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This PhD asks a different question: instead of demanding more data, can we build language models that learn smarter from less? You will design AI architectures that adapt to the structure of a
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risk management. Reliable numerical models can improve our understanding of how piping develops and help engineers assess and design safer, more reliable flood defence systems. In this PhD project, you
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. Empa is a research institution of the ETH Domain. Research project on Design, synthesis, and multiscale characterization of materials for soft robotics applications (SAM3/ESR12 – soft robotics
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controllers for complex systems that are safe and verifiable by design. Information Neural networks can provide the flexibility needed to control increasingly complex dynamical systems, but their opaque and
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imaging methods that are more robust and computationally efficient, while also providing a natural framework for uncertainty quantification and experimental design. A central question is whether suitable
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understanding, capabilities and innovation, while inspiring and providing broad training to the next generations of researchers. Our values are Commitment, Collaboration and Transformation. Our research lines
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— designing unlearning protocols that remain stable under fine-tuning attacks, jailbreak-style probing, and multi-turn adversarial interaction Evaluation and verification — building federated-specific
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of electrodes containing recycled material. Electrochemical evaluation of recycled cathode and anode materials. Development of design-for-recycling principles for future battery technologies. The project will be
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– University of NSW Dr David Foxe - University of Sydney Prof Linda Clare (University of Exeter, UK) PhD options The early stages of the GREAT for PPA project involves co-design and implementation planning