5 coding-"https:"-"FEMTO-ST"-"Prof"-"AMOLF" "https:" "https:" "https:" "https:" research jobs at Aarhus University
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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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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
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with a substantial statistical component (e.g., mathematics, statistical genetics, bioinformatics). The applicants should ideally have some coding experience (e.g., in R, Stata, Matlab, C, etc), and also
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but not limited to: Use AI techniques, including the development and application of large language models (LLMs), for text analysis of memory reports according to specific research aims. Content coding