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human movement data for analysis; audio feature extraction; the computational analysis of human movement, biomechanics and vocalization; and co-writing articles. The position is available for a period of
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requirements PhD or equivalent academic qualifications with a specialization in AI in areas relevant for the project (e.g., MIR, computational music analysis). The applicant is required to demonstrate how
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incomplete data sources, and account for uncertainty in ways that are relevant to real-world management. At the same time, it addresses how models are used in practice clarifying the assumptions they carry
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aesthetics, popular music and cultural analysis, and music cognition and technology. The Department has approximately 50 employees, including PhD and postdoctoral students, and admits a total of 90 bachelor
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collaborate closely with the project team (PIs, PhDs and postdoc), project partners and stakeholders on demographic analysis (WP2), modelling methods (WP4), and perspectives on nature governance (WP5
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aesthetics, popular music and cultural analysis, and music cognition and technology. The Department has approximately 50 employees, including PhD and postdoctoral students, and admits a total of 90 bachelor
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contribute to developing new methods to advance project aims. Collect, analyse, visualise and interpret data through literature reviews, ethnographic fieldwork, network analysis and other research methods as
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implications in creative domains. See MishMash Centre for AI and Creativity | A Norwegian AI centre funded by the Research Council of Norway (2025-2030) for more information. This postdoc position will be part
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powered by: Cookie Information Nettsiden bruker cookies Vi ønsker at du skal være trygg når du bruker dette nettstedet. Vi benytter cookies for å sikre at du får en best mulig brukeropplevelse og