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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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the opportunity to obtain additional skills related to interdisciplinary language science research more generally. Equally qualified applicants with disabilities will be given preference in the hiring process. The
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if they are equally suit-able and qualified. Applications from people with a migration background are welcome. Please note our information on data protection in the application process at https://www.hmtm-hannover.de
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preference in the hiring process. The University of Tübingen is committed to equal opportunities and diversity. It therefore takes individual situations into account and asks for relevant information
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teaching and therefore urges qualified women academics to apply for these positions. Equally qualified applicants with disabilities will be given preference in the hiring process. The University of Tübingen
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such as the NEPS. Potential research areas include (but are not limited to): Item response modeling of achievement tests Analysis of process data (e.g., response times) to enhance competence measurements
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processed in accordance with the selection process.
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application, you confirm that you have read and understood our data protection guidelines and privacy policy and that you agree to your data being processed in accordance with the selection process.
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and teaching and therefore urges qualified women academics to apply for these positions. Equally qualified applicants with disabilities will be given preference in the hiring process. The University