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security-oriented workflows. This includes designing methodologies that ensure traceability, robustness and bias mitigation in AI models, as well as creating prototype tools that demonstrate how transparent
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, society and policy. We combine insights from both engineering and social sciences as well as the humanities. TPM develops robust models and designs, is internationally oriented and has an extensive network
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, the leader aims to build a robust network that mitigates failures caused by the follower’s actions. A key characteristic of such applications is the presence of symmetries. For instance, a symmetric network
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are developing technology to robotically manufacture robust optical circuits for quantum technology and beyond. We provided the circuit boards for the AQuRA optical lattice clock and are offering
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development, clinical guidelines and shared decision-making between healthcare professionals and patients. . However, robust and standardised methods to consistently quantify this impact across entire care
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and deployment. Your specific focus (Work Package 3) is on Human-In-The-Loop AI and Continual Learning. We aim to build systems that excel in performance but prioritize robustness, fairness, and
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the PI and the technical/data engineer to manage data workflows, ensure FAIR data practices, and translate raw measurements into robust scientific products that feed directly into QUASI’s data analysis and
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to establish a robust, data-driven framework for identifying which vortex-state particles reliably record the Earth’s magnetic field. The development of the MERRILL extension will be done in collaboration with