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frameworks. Key regulations, such as the GDPR and the EU AI Act, mandate fairness and transparency in data processing. But how do we achieve these standards amidst the technical and mathematical challenges we
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conferences. Requirements Master’s degree (or equivalent) in Computer Science, Bioinformatics, Mathematics, or a related field Background or interest in (some of) the following areas: Cryptography (e.g., secure
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leveraging probabilistic models of pragmatic language use and interpretation. This work involves philosophical / linguistic analysis, experiments with human participants, and mathematical / statistical
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PhD Researcher in Theoretical or Experimental Pragmatics / Cognitive Science (m/f/d, E 13 TV-L, 65%)
probabilistic models of pragmatic language use and interpretation. This work involves philosophical / linguistic analysis, experiments with human participants, and mathematical / statistical modeling
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, Machine Learning, Cognitive Science), documented by publications in leading venues. The position requires a solid mathematical background and experience with Deep Learning libraries (e.g., PyTorch), as