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UiO/Anders Lien 24th 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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English Postdoctoral position in 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
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user and stakeholder engagement. The candidate will be embedded in a multidisciplinary research environment combining expertise in machine learning (ML), numerical modelling, satellite remote sensing
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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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contribute to a project that will develop and analyse computational models for electricity markets, the power system and hydro power scheduling. The position will be affiliated with the ENE Centre at the
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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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computational researchers across work packages and contribute to the interdisciplinary activities of the convergence environment. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs
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biology. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/298890/post-doctoral-position-epigenetic-and-epitranscriptomic-regulation-of-early-embryo-development Where