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guiding the earliest stages of mammalian embryo development. The project will combine experimental data obtained through advanced live imaging and spatially resolved molecular profiling with theoretical and
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incomplete data sources, and account for uncertainty in ways that are relevant to real-world management. At the same time, it addresses how models are used in practice clarifying the assumptions they carry
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vivo and in vivo 2-photon live imaging. Documented experience with bioimage analysis and relevant software solutions (such as Image J/FIJI, Python, and Matlab). Experience with molecular genetics
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contribute to developing new methods to advance project aims. Collect, analyse, visualise and interpret data through literature reviews, ethnographic fieldwork, network analysis and other research methods as
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implications in creative domains. See MishMash Centre for AI and Creativity | A Norwegian AI centre funded by the Research Council of Norway (2025-2030) for more information. This postdoc position will be part
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, and led by Professor Annette Alstadsæter. The core group is based at NMBU, and its international network includes the EU Tax Observatory, Centre for the Analysis of Taxation, Columbia University
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powered by: Cookie Information Nettsiden bruker cookies Vi ønsker at du skal være trygg når du bruker dette nettstedet. Vi benytter cookies for å sikre at du får en best mulig brukeropplevelse og