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to the German language and German-language literatures. The core areas are Modern German Literature, Medieval German Language and Literature, Germanic Linguistics, German as a Foreign and Second Language, and German
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of Philological and Cultural Studies, with several interdisciplinary PhD and Postdoc positions in the areas of machine learning for natural language processing and computational linguistics. Possible research
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you numerous benefits, such as a company pension fund, travel allowances, low-cost parking, discounted IT (hardware and software), special rates for language courses offered by the university language
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benefits, such as a company pension fund, travel allowances, low-cost parking, discounted IT (hardware and software), special rates for language courses offered by the university language center, advancement
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18 Apr 2024 Job Information Organisation/Company Universität Wien Research Field Language sciences » Philology Researcher Profile First Stage Researcher (R1) Country Austria Application Deadline 30
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Initial practical experience in academic writing and research methods Teaching skills / experience in e-learning IT skills, esp. an object-oriented programming language such as C#, Python, or Java Knowledge
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language skills Additional Information Benefits What we offer: Work-life balance: Our employees enjoy flexible, family-friendly working hours, remote/hybrid and/or part-time work (upon agreement). Inspiring
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Requirements Your place of work: The Department of English and American Studies hosts research and teaching in the areas of literary and cultural studies, as well as linguistics, ELT/TESOL and English
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to express yourself both orally and in writing Excellent command of written and spoken English, further foreign language skills are an asset IT user skills, especially MS Office and moodle Ability to work in a
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personality: Completed master's/diploma degree in computer science, computational linguistics or a related field of study Publications in the area of Natural Language Processing (e.g. ACL, EMNLP) Didactic