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field; Affinity with formal methods, including an understanding of basic of automata theory, formal languages, algorithms, and computability --- i.e., foundational computer science theory. Candidates with
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operations. The goal of this project is to conceive, develop, and evaluate optimization models and algorithms for increasing the economic efficiency of last-mile delivery operations, including routing
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algorithms for AI agents to learn, apply, and generate justifications in collaborative settings. You will be co-supervised by Davide Dell’Anna (Utrecht University) and Myrthe Tielman (Delft University
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in machine learning (ML)? This PhD position offers a unique opportunity to contribute to cutting-edge research in algorithmic fairness, ensuring that automated decision-making systems produce equitable
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critical literacy skills to evaluate news in the context of algorithmic personalization and GenAI. It brings together expertise on media and journalism studies, digital literacy and inclusion, argumentation
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multiscale analysis of the mass distribution, as well as that of the flow field structure, and of the force and tidal field that has been shaping the cosmic web. The basic detection algorithms to infer
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of biased decision-making in machine learning (ML)? This PhD position offers a unique opportunity to contribute to cutting-edge research in algorithmic fairness, ensuring that automated decision-making
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, including local hydrogen and electricity markets, but also flexibility markets related for managing network congestion. Some specific topics that are relevant for this PhD position include (non-exclusive list
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for these new solution methods will be derived. This position is part of a larger research project “Discrete Decision Making under Uncertainty”, in which researchers work on developing new theory, algorithms, and
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new post-quantum cryptography algorithms to secure critical infrastructure. However, these new algorithms are still susceptible to physical attacks, while current testing infrastructures to assess