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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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Theater and culture: special events, discounts and vouchers Application and Contact: Please send your application materials as a single PDF file to Prof. Dr. George Cutsail, george.cutsail@cup.lmu.de, using
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, discounts and vouchers Application and Contact: Please send your application materials as a single PDF file to Prof. Dr. George Cutsail, george.cutsail@cup.lmu.de, using GC-010 in the subject line. Your
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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
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the objectives more precise; working on the individual PhD study project with its focus on the methodological contributions as well as on empirical data processing for the case study analysis in collaboration with
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they hold one of the following language qualifications: Englisch: IELTS (5,5) / TOEFL iBT (80) German: DSH II / TestDaF4x4 or higher Application Procedure Application deadline The application occurs online
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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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, modelling and simulation of photonic systems, sensor systems, signal processing and device manufacturing, development of machine learning algorithms, and design of optical communication networks or power
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