49 estimation-methods "https:" "Computer Vision Center" Postdoctoral positions in Norway
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- University of Oslo
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BioM - Methods for knowledge-based biodiversity monitoring and management under uncertainty - is an interdisciplinary Convergence Environment under UiO:Life Science , based at the Natural History Museum
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conducted In-depth knowledge of qualitative methods and documented experience with long-term, independent ethnographic field research. Strong analytical skills and ability to communicate clearly Ability
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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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outreach. Employment is scheduled to start on August 15th, 2026. The BioM Convergence Environment BioM - Methods for knowledge-based biodiversity monitoring and management under uncertainty - is an
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(5-10 pages). The proposal must include the topic, relevant theory and methods and timeline. The proposal must include a paragraph declaring if and how AI was used in the development of the proposal
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Convergence Environment BioM at the University of Oslo (UiO). Employment is scheduled to start in September 2026. The BioM Convergence Environment BioM - Methods for knowledge-based biodiversity monitoring
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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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The application must include Application letter. Please state your motivation and research interests. A tentative project proposal (5-10 pages). The proposal must include the topic, relevant theory and methods and
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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