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computational modeling. The postdoctoral candidate will: Analyze quantitative molecular and imaging data produced by other members of GENESIS. Develop new machine learning models to identify gene regulatory
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imaging data produced by other members of GENESIS. Develop new machine learning models to identify gene regulatory mechanisms involved in the physical mechanisms of cellular self-organization during early
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will unite ecology, statistics, and philosophy to improve the modeling and governance of biodiversity under uncertainty. The project develops process-explicit, hierarchical models that capture key
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, based at the Natural History Museum, University of Oslo (UiO). The position includes compulsory career-enhancing work, such as project management and coordination, teaching, curation of collections, and
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-making systems that are scientifically robust, transparent about uncertainty, and responsive to ecological, ethical, and policy contexts. BioM will unite ecology, statistics, and philosophy to improve
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. Building on recent work in music theory, rhythm cognition, and music information retrieval, the project will develop a novel, theoretical-analytical framework for the categorization of multi-part rhythmic
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Centre for AI and Creativity, which is a Norwegian AI centre funded by the Research Council of Norway (2025-2030). It comprises more than 200 faculty members from many higher education institutions in
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3 years. There is a 10 % component of the position that is devoted to teaching and administrative duties or other career-enhancing work. Given additional funding, the position may be extended to 4
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career-enhancing work, such as project management and coordination, teaching, curation of collections, and outreach. Employment is scheduled to start on August 15th, 2026. The BioM Convergence Environment
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more than 200 faculty members from many higher education institutions in Norway, in collaboration with numerous public and private sector partners. The primary objective of MishMash is to create, explore, and