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Ref.: 532565 Work type: Full-time Department: School of English (04300) Categories: Senior Research Staff & Post-doctoral Fellow, Research Staff Applications are invited for appointment as Post-doctoral Fellow in Experimental Phonetics in the School of English (Ref.: 532565), to commence as soon...
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: Measuring the dynamic impact of personal social networks on language learning outcomes (NSF-2341628) led by Dr. Eleonora Rossi in the Department of Linguistics, together with an interdisciplinary team of co
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, American Sign Language, Chinese (Cantonese, Mandarin and other variations), Arabic, Tagalog, Farsi, French, or/and Yoruba. Position Overview The Department of Physics at the University of North Texas is
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over 35 Master's specialisations. Our research, which is internationally widely acclaimed, covers Archaeology, Cultural Studies, History, International Relations, Language and Literary Studies
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health management (back training, health day with various offers), discounted sports offers from the Dresden University Sports Center, job-related further training opportunities and language courses
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the selected language for the website. Utløpsdato: 2 dager Navn: jobbnorge.language Leverandør: .jobbnorge.no Databehandlingsansvarlig: Piwik PRO Formål: Samler informasjon om brukerne og deres aktivitet på
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multi-method approaches It is meritorious if you have experience in: Knowledge of the Swedish language Teaching experience in the topic of the position Experience of data-driven methods and AI Experience
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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 Linguistic, German as a Foreign and Second Language, and German
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*Strong publication record (relative to degree timing) *Collaborative spirit in interacting with postdoctoral and PhD researchers on the team *Interest in developing and applying Large Language Models (LLM
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Scandinavian language must be uploaded at our recruitmentm portal Jobbnorge. Application deadline: 31st of August, 2025. Candidates are expected to openly offer all relevant information about themselves during