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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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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
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–protein assemblies. You will establish the analytical and experimental platform. You will isolate and purify casein phosphopeptides and develop robust, reproducible protocols to generate and monitor
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at the intersection of technology, 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
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emerging hydrogen markets. The goal is to generate insights that support robust, efficient, and well-governed market designs for Europe’s energy transition. The position offers strong opportunities
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systematic validation and performance assessment. At ING, large document flows and multiple RAG-based initiatives call for robust mechanisms to evaluate model outputs. You will work with ING Analytics
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assessment. At ING, large document flows and multiple RAG-based initiatives call for robust mechanisms to evaluate model outputs. You will work with ING Analytics to design and test methodologies that quantify
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such as multiple objectives, the robustness of designs and the transparency of the design recommendation process. The position is offered in the context of the Mobility DesAIgn Lab, a project that
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research at the intersection of technology, society and policy. We combine insights from both engineering and social sciences as well as the humanities. TPM develops robust models and designs, is
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over time. These insights are crucial for understanding degradation mechanisms and ultimately for designing more robust and recyclable battery systems. We are particularly interested in candidates with