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Probabilistic Circuits. Causal Representation Learning. Causal Explanations. Causality and Large Language Models. Counterfactual learning. Job requirements Master’s degree in Computer Science, Mathematics, or a
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Irène Curie Fellowship No Department(s) Mathematics and Computer Science Reference number V32.7466 Job description As a PhD-TA candidate, you will work on new distributed algorithms for large
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in which DSO Alliander will work together with the TU/e departments of Electrical Engineering (Electrical Energy Systems group) and Mathematics & Computer Science (Interconnected Resource-aware
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in which DSO Alliander will work together with the TU/e departments of Electrical Engineering (Electrical Energy Systems group) and Mathematics & Computer Science (Interconnected Resource-aware
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in which DSO Alliander will work together with the TU/e departments of Electrical Engineering (Electrical Energy Systems group) and Mathematics & Computer Science (Interconnected Resource-aware
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Digital Technologies Joint Undertaking (KDT JU) program Move2THz. Within this program, TU/e is responsible of developing epitaxial growth of InP photonics structures directly onto templated Si substrates
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area and demonstrable expertise. Ideally, you have the following qualifications: Completed (or about to complete) a Master’s degree in Computer Science, Human-Computer Interaction, Design, Linguistics
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English), Strong command of the English language (knowledge of Dutch language is a plus), Excellent scientific writing skills, preferably proven with peer-reviewed publications, Project management skills
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. Job requirements Recently completed (or be close to the completion of) a Master's degree in Human-Computer Interaction, Cognitive Psychology, Educational sciences, or a related field that shows
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to the research, education and service program of the ITEM group. This program is one of the leading programs in the world and emphasizes means for measuring and improving the process of conceiving, developing, and