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harmonization of datasets, including data structures, variable names, units and metadata, and contribute to basic quality control and documentation. You will assist with data processing, tabulation
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cultural backgrounds Are flexible, as some activities and events may take place outside normal office hours It is an advantage if you: Have previously participated in the AU Student Ambassador Network
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, working with quarto documents, visualizing data, and writing clean & reproducible code) Experience with natural language processing tasks (in R or Python - familiarity with common tasks such as sentiment
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quantitative analysis of learning outcomes, student satisfaction, workload, and system interactions. You will become part of an academically stimulating project environment and gain hands-on experience
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prioritized order for the courses. Each course requires a separate application. You will need to write them in the same document or attach it as extra attachments in the application system. Each application
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Indication of education (a copy of the diplomas should be uploaded) References/recommendations can be uploaded separately in the recruitment system We refer to the faculty’s Guideline for applicants
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application must be submitted via Aarhus University’s recruitment system, which can be accessed under the job advertisement on Aarhus University's website.