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for 3 years. The project is conducted in close collaboration with the SFF Integreat, The Norwegian Centre for Knowledge-driven Machine Learning (ML) , a centre of excellence funded by RCN and in operation
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separation on commercial recordings and extracting audio features (onsets, pitch, harmony, dynamics); curating datasets; and integrating machine learning approaches to complement rule-based methods. For more
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and Law” https://www.nmbu.no/nyheter/stor-tildeling-til-forsking-pa-skatt . Interested applicants must be therefore interested in one or more of the following topics: how taxpayers avoid and evade
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June 10-11, 2026 (hybrid physical/digital event, see details at https://uit.no/arcticmsca/programstructure ). At this event, the candidates will present their past research achievements, discuss future
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“Researcher Project for Scientific Renewal”, and it is fully funded for 3 years. The project is conducted in close collaboration with the SFF Integreat, The Norwegian Centre for Knowledge-driven Machine