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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you interested in working on robust methods for statistical learning
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practice offers no robust, scalable, or provable mechanism to guarantee this right once a model has been trained. The distributed nature of federated settings introduces unique challenges for unlearning
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The project is in close collaboration with the National Physical Laboratory and benefits from the scientific environment and resources provided by the Centre for Vision, Speech and Signal Processing CVSSP and the Institute for People-Centred AI at the University of Surrey. A generous stipend is...
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PhD Studentship: Robust quantum control for quantum error correction The development of fault-tolerant quantum computing is one of the most coveted aims of quantum technology. It will bring about a
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safety-critical domain, reducing hallucinations and improving robustness and trustworthiness are essential. This PhD targets principled ways to detect, analyze, and mitigate hallucinations in video-based
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1st May 2026 Languages English English English UiA-CERN PhD Position in Robust and Safe Control and Planning for Robotic Platforms Apply for this job See advertisement About the position We have a
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assess the operational feasibility and robustness of urban energy system designs emerging from AI- and multifractal-informed planning approaches. The PhD will develop and apply optimization-based energy
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partner institutions in France and Switzerland, including research stays within the FRACNET-CITY consortium. PhD Position in Operational Feasibility and Robustness of AI- and Multifractal-Inspired Urban
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Unmanned aerial and surface platforms are increasingly deployed for maritime monitoring, environmental assessment, search-and-rescue, and pollution detection. However, water surfaces are highly dynamic, optically unpredictable environments, dominated by waves, specular reflection,...
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techniques to engineer robust, inducible yeast strains for efficient biomanufacturing. Expected impacts will be contributing to fundamental understanding of cell decisions in biology and thea dvance in