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2029. The position is within project A3 “Common Ground Make-Up: Attitudes and Types of Propositional Information” with project leader Kalle Müller (German Department). The aim of the project is to
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by collecting and analysing data on multimodal communication in great apes, focusing on gestures, vocalizations, and facial expressions. Studies will also consider contextual information such as
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. the analyses of speech acts, presupposition and implicature an interest in considering literary texts as a data source. The project offers a cohesive interdisciplinary research environment at the University
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computational countersignaling theory of irony. On the empirical side, the project will contribute developmental data from typically developing children and adults. Ph.D. project 1 will focus on the acquisition
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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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, a snarl on his face.’ Topics for doctorates could concern questions such: what contextual factors (text genre, information structure, and shared background knowledge) must come together to license
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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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into account and asks for relevant information. The University of Tübingen seeks to raise the number of women in research and teaching and therefore urges suitable qualified women academics to apply
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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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) to optimize the production of bio-based products in E. coli and other industrially relevant bacteria. You can find more information about our group at https://www.linkmetabolism.com . Your tasks: Design and