15 learning-"https:"-"Universidade-do-Minho---ISISE" Postdoctoral positions in Norway
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models for high-dimensional and functional data ”, led by Professor Valeria Vitelli. Successful candidates will work on Bayesian models for unsupervised learning when multiple data sources are available
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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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for unsupervised learning when multiple data sources are available, mostly tailored to the case of dynamic sequential inference and probabilistic recommender systems. The position is connected to the project
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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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(https://www.ntnu.edu/isb/prostomics#/view/about ), which is part of the broader CIMORe environment at the Department of Circulation and Medical Imaging. The group is located at Øya Campus as part of
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of Norway through the “Arctic MSCA-PF program”. Successful postdoc candidates will be invited for a two-day MSCA-PF symposium June 10-11, 2026 (hybrid physical/digital event, see details at https://uit.no
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through the “Arctic MSCA-PF program”. Successful postdoc candidates will be invited for a two-day MSCA-PF symposium June 10-11, 2026 (hybrid physical/digital event, see details at https://uit.no/arcticmsca
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event, see details at https://uit.no/arcticmsca/programstructure ). At this event, the candidates will present their past research achievements, discuss future plans with their potential supervisor and
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physical/digital event, see details at https://uit.no/arcticmsca/programstructure ). At this event, the candidates will present their past research achievements, discuss future plans with their potential