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, visualizing data, and writing clean & reproducible code) Experience with natural language processing tasks (in R or Python - familiarity with common tasks such as sentiment analysis, topic modelling
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26Geofield Contact City Copenhagen Website https://food.ku.dk/english/ Street Rolighedsvej 26 Postal Code 1958 STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket
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of CopenhagenCountryDenmarkState/ProvinceCopenhagenCityCopenhagenPostal Code1958StreetRolighedsvej 26Geofield Contact City Copenhagen Website https://food.ku.dk/english/ Street Rolighedsvej 26 Postal Code 1959 STATUS: EXPIRED X
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, ethnography, and policy studies. Further description of the project can be found here: https://dff.dk/en/our-funded-projects/meet-the-researchers/research-leaders/eksterne-personer-en/research-leaders-2026
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in using natural language processing (NLP) methods on large-scale text data. Candidates with substantial experience in NLP and text-based analysis will be particularly well suited to the project
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to acquire, download, manage, and synthesise large geospatial datasets from diverse sources. Proven ability to publish at a high international level. Excellent written and oral communication skills in English
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aligned with the Science Team ‘Food Quality Perception and Society’ (FQS) at the Department of Food Science http://food.au.dk/en/foodresearch/science-teams/food-quality-perception-society/. The Science Team
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areas of the Department. Teaching is delivered in both Danish and English. The Full Professorship is a tenured position with research and teaching obligations. To fulfil the responsibilities
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teaching in general marketing and across the core research areas of the Department. Teaching is delivered in both Danish and English. The assistant professorship is a tenure track position (6 years) with
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of their personal background. Given the project’s empirical focus on educational settings in Denmark, applicants must be sufficiently proficient in the Danish language to conduct fieldwork and actively participate in