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and master students in 12 departments. The faculty has an annual budget of DKK 3 billion. Learn more about The Faculty of Science at www.science.ku.dk You can read about the recruitment process at https
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consist of the PI, one postdoc and one PhD. Read more about the project here: https://dff.dk/en/our-funded-projects/meet-the-researchers/research-leaders/eksterne-personer-en/research-leaders-2025/mathias
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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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candidates regardless of personal background. Further information on the department is linked at http://www.science.ku.dk/english/about-the-faculty/organisation/ . Inquiries about the position can be made
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a dynamic and collegial academic atmosphere. More information about the department can be found at https://math.au.dk . Place of work and area of employment The place of work is the Department
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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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refer to http://mbg.au.dk/ for further information about The Department of Molecular Biology and Genetics and to https://nat.au.dk/ and http://www.au.dk/ for information on Faculty of Natural Sciences and
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: https://talent.au.dk/junior-researcher-development-programme/ If nothing else is noted, applications must be submitted in English. The application deadline is at 11.59 pm Danish time (same as Central
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candidate will support experimental work related to biogas production, biomass characterization, and process optimization. Tasks will include laboratory-scale anaerobic digestion experiments, analytical
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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