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studies independently, working with diverse datasets, developing algorithms and decision rules, and contributing to the refinement of data-driven intervention strategies. Tasks As a postdoctoral researcher
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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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communicating and sharing information. Your job In this project, we focus on interpretability of the communication in MARL algorithms. We aim to bring together causality and multi-agent reinforcement learning
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processing; ensuring the provision of necessary instrument inputs for the development of level 1 processing tools/algorithms and the associated ground processor prototype; ensuring the timely availability
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how children (8-12), adolescents (12-18) and young adults (18-25) build critical literacy skills to evaluate news in the context of algorithmic personalization and GenAI. It brings together expertise
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advanced motion planning algorithms with machine learning techniques, such as reinforcement learning, imitation learning, and task generalization. You will focus on designing intelligent robotic systems
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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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modelling, wavefront shaping, and machine learning algorithms. Information and application Are you interested in this position? Please send your application via the 'Apply now' button below before 15 June
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. Your work will focus on design-space exploration and optimizations tailored to different environments. The optimizations range from algebraic optimizations (e.g., term rewriting), to algorithmic
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to the above mentioned topics, using a combination of techniques ranging from mathematics, algorithm design and implementation, to computer experiments and design research; publish, present and share your