25 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" Postdoctoral positions at University of Oslo in Norway
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UiO/Anders Lien 10th April 2026 Languages English English English Postdoctoral position in Machine Learning and Computational Biology Apply for this job See advertisement About the position
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Machine Learning and Computational Biology Apply for this job See advertisement About the position Applications are invited for a full-time 3-year Postdoctoral position in Machine Learning and Computational
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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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with the EU). For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/296940/post-doctoral-fellowship-norcie-norwegian-centre-for-international-economics Where to apply
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with the SFF Integreat, The Norwegian Centre for Knowledge-driven Machine Learning (ML) , a centre of excellence funded by RCN and in operation until 2033. The research group on statistical models
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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 Learning (ML) , a centre of excellence
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Care without Harm and the Norwegian Bioart Arena. The Postdoc will also contribute to other project-related tasks and activities. For more information and how to apply: https://www.jobbnorge.no/en
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. For more information about our current research operations and our latest publications (including Patel et al, 2025, Fei et al, 2023; Karttunen et al, 2023; Sahu et al, 2022; Sahu et al, 2021), see https
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modeling; performing source separation on commercial recordings and extracting audio features (onsets, pitch, harmony, dynamics); curating datasets; and integrating machine learning approaches to complement
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, pitch, harmony, dynamics); curating datasets; and integrating machine learning approaches to complement rule-based methods. The candidate will collaborate closely with the PI and the project team and co