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project language is English and the applicants should have an excellent command of it, written and spoken. Applicants must have knowledge and understanding of research ethics processes in the fields covered
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computational fields with expertise in machine learning, natural language processing, human-AI interaction, or computational social science. Experience applying ML/AI methods to organizational or social science
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seeks to foreground the emotional and affective dimensions related to personal experiences and civic engagement in green transition processes. Its objectives are to anchor climate policy in local contexts
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, engineers, and industry partners, including renowned researchers at the College of Computing and Data Science (CCDS) at NTU. Technical skills, natural curiosity, versatility, and enthusiasm are highly desired
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of proficiency in English a list of any works of a scientific nature (eg. publication list) The application and appendices with certified translations into English or a Scandinavian language must be uploaded
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2026. It is a condition of employment that the master's degree has been awarded. have excellent written and oral English skills. be able to work independently and in a structured manner and demonstrate
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: _vid_t Leverandør: .jobbnorge.no Databehandlingsansvarlig: Formål: Saves the selected language for the website. Utløpsdato: én måned Navn: jobbnorge.language Leverandør: .jobbnorge.no
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least 2 of the following preferred criteria: a) Demonstrated academic training in the area of the regulatory function of language in cognitive processes, aligned with Level 8 of the EQF; b) Demonstrated
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-based data collection and working with local research teams or government partners is highly valued. Fluency in English is required; knowledge of Spanish or French is a preference factor. WORK PLAN
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publication list Two educational or professional recommendations All documents must be in English or include an official English translation. Connect with ORISE...on the GO! Download the new ORISE GO mobile