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-depth linguistic-ethnographic approach is applied, including extensive digital sound recordings, qualitative interviews and participant observation, to explore students’ linguistic practices, barriers and
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criteria Profile required - PhD in linguistics or related field Skills : - Solid background in linguistics - In-depth knowledge of quantitative approaches and statistical modeling in linguistics - Expertise
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Institute for Research in Biomedicine, Università della Svizzera italiana | Switzerland, | Switzerland | 5 days ago
of Como and Milano. Although located in the Italian part of Switzerland, English is the main working language. Artificial Intelligence applied to antibody discovery The Computational Structural Biology
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PhD degree with a specialization within the areas of sociolinguistics, linguistic anthropology, applied linguistics or similar. Practical experience with (linguistic) ethnography or similar
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developing algorithmic solutions for GWAS in an interdisciplinary team. In addition, good language skills in English, oral and written, are expected. A Master is required for the position, but not a PhD. The
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the research project "Harnessing the potential of large language models for language research, assessment, and clinical use," led by Professor Cai Zhenguang Garry. The project involves collaboration
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policy (the National Cancer Plan (PNC2)) and international research on the use of health data to improve patient outcomes. Training and research environment : The National Cancer Registry of Luxembourg and
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language (written and spoken) Additional Information Benefits Monthly stipend of 1801 €, net, plus social security coverage and work insurance. Eligibility criteria PhD holder - Doctoral degree in
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must have concluded a PhD in Computer Science, Data Science, Artificial Intelligence, Computer Engineering or related area (essential). • The candidate should have a background Data Science/Machine
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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