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well as contemporary literature on the functions of mathematical definitions. It critically examines the idea that explicit definitions, functioning as mere abbreviations, are epistemically neutral in the sense
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, and more specifically, the uncertainty linked to the imperfection of knowledge (epistemic) can be significant in applications with high societal stakes in urban environments. One promising avenue
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and distinguishing between aleatoric and epistemic forms of uncertainty. We are interested in several technical competencies, and in particular on work coupling data-driven and model-driven approaches
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will have a PhD in philosophical logic, research expertise in philosophical and mathematical logic, with specific experience, achievements, publications and interests in the following: base-extension
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advances the mathematical foundations, algorithms, and real-world applications of epistemic uncertainty in machine learning, with a strong focus on imprecise probabilities, uncertainty representation and