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Field
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The Leibniz-Centre General Linguistics (ZAS) invites applications for TWO PhD research positions in general linguistics. The positions require an M.A. degree (or equivalent) and can be awarded
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PhD Neural Control of Vocal Pitch: Exploring the Intersection between Speech and Language Processing
Period of funding: 1.0 FTE, 4 years 0.8 FTE, 5 years The overarching goal of this project is to characterize the influence of linguistic context, tonal language experience, and pitch sensitivity
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PhD Neural Control of Vocal Pitch: Exploring the Intersection between Speech and Language Processing
PhD Neural Control of Vocal Pitch: Exploring the Intersection between Speech and Language Processing (V24.0349) « Back to the overview Job description Period of funding: 1.0 FTE, 4 years 0.8 FTE, 5
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with qualitative research methods in social science as well as some quantitative methods in data collection and analysis. Experience in conducting research among culturally and linguistically diversified
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Primary supervisor - Dr Teodora Gliga, [email protected] Secondary supervisor – Prof Larissa Samuelson A fully funded PhD position is available with the Baby Language and Conceptual Knowledge Study
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2nd September 2024 Languages English English English The Department of Teacher Education has a vacancy for a PhD Candidate in Environmental Humanities, Language Education and Artificial Intelligence
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resources may be provided by the Jean-Zay supercomputer. Large language models (LLMs) and deep contextual embeddings (i.e., BERT and its variants) are trained on large corpora, usually extracted from various
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that place them among the top 10-15 percent of graduates. This requirement also applies to the master’s thesis. Applicants should have excellent written and oral language skills in Norwegian (or another
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group's needs. Good communication skills in English, oral and written. Proficiency in a Scandinavian language is an advantage. The following grade requirements are a condition for employment in the position
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impairments and language barriers. This innovation aims to maintain the cost advantage of digital survey technologies while significantly enhancing real-time, personalised supports through human-like