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field (Biology, Psychology, Evolutionary Anthropology, Linguistics, Cognitive Science, or similar), and experience with collecting and analyzing behavioral data, as documented through course work or
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pragmatic notion of Common Ground. Only applicants that hold a master’s degree (or equivalent) in Linguistics or a similar Language Science area by 01 October 2025 are eligible for the role. The ideal
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). Project description The ability to interpret ironic utterances is a linguistic skill that develops relatively late in the process of language acquisition and appears brittle under cognitive deficit
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corpora data correlation. Requirements: A master’s degree in Computational Linguistics, Computer Science or related fields. Solid background in Machine Learning and Natural Language Processing Experience
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strain engineering is a plus. Data analysis skills (e.g. in Python, MATLAB or similar) are a plus. Excellent communication skills in English, both written and spoken Strong motivation to work
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Contact persons Research Back Research infrastructure Back Digital Humanities Center LISA+ Quantitative Biology Center (QBiC) Tübingen Structural Microscopy (TSM) Research Data Management (RDM) Core
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of great ape communication to identify evolutionary trends and simulate dynamics that might explain the evolution of common ground in humans. For more information see the following representative articles
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psychology, cognitive science or linguistics by 1 October 2025, have experience in empirical-experimental research in the field of psychology or psycholinguistics and have knowledge of German (near native
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morphology (future and conditional) in Spanish, Italian and French. On the empirical side, the project will deliver a theoretically informed cross-linguistic description based on data collected via
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equivalent) in Linguistics or a similar Language Science area are eligible for the role. The ideal candidate for this position has: a strong familiarity with contemporary research on prosody and its