343 coding-"https:"-"FEMTO-ST"-"Prof"-"AMOLF" "https:" "https:" "https:" "https:" "Utrecht University" positions in Denmark
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& reproducible code) Experience with natural language processing tasks (in R or Python familiarity with common tasks such as sentiment analysis, topic modelling, classification using transformer-based models
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calibration. The project will also involve collaboration between DTU, Utrecht University, Aberdeen University and Twente University. A short external research stay at Twente University to collaborate
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Contact City Aarhus Website https://mbg.au.dk/en/ Street Universitetsbyen 81 Postal Code 8000 STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket Viadeo Gmail
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UniversityCountryDenmarkCityAarhusGeofield Contact City Aarhus Website http://www.au.dk/en/ Street Nordre Ringgade 1 Postal Code 8000 STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket Viadeo
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are available as of 1 September 2026 for a period of up to three years (5+3) and of up to four years (4+4). Where to apply Website https://phd.arts.au.dk/applicants/open-and-specific-calls Requirements Research
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interested in candidates with strong competences in one or more of the following areas: Qualitative research methods, especially interviews, coding, interpretation, and cross-case analysis Stakeholder analysis