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of communication (e.g., language board, sign language, etc.) Uses equipment such a digital audio recorders, software/hardware-based speech analysis systems, visi-pitch, computer-assisted and augmentative
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in Machine learning, Natural Language Processing, and/or Software Development. Applicants with an experience in one or more of the above academic fields are encouraged to apply. High proficiency in
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confirming the knowledge of Polish language on at least C1 level, consent to process candidate’s personal data for the purposes of recruitment process according to the Law, declaration, that CLOR will be
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of recruitment process according to the Law, declaration, that CLOR will be the principal place of employment. LanguagesENGLISHLevelExcellent LanguagesPOLISHLevelMother Tongue Research FieldChemistry
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: Good oral and written communication skills in English English requirements for applicants from outside of EU/ EEA countries and exemptions from the requirements: https://www.mn.uio.no/english/research
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the field of Natural Language Processing (NLP), with a particular focus on the training, evaluation, and improvement of multilingual language models. The candidate will contribute to the development
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). LanguagesPOLISHLevelMother Tongue Internal Application form(s) needed Konkurs_instruktor_instruktorka.pdf English (1.18 MB - PDF) Download Additional Information Benefits employment contract Selection process Documents must
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to speech recognition, accessibility technologies, machine learning, and natural language processing. Develop and maintain scripts or software tools to support data processing and analysis. Document coding
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outside of EU/ EEA countries and exemptions from the requirements: https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 In addition to the eligibility criteria above, candidates
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support the technical delivery of an automated natural language processing pipeline for extracting statistical metrics and study design features from full texts. This includes developing and maintaining