31 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Dr" positions at University of Bergen
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financing by the University of Bergen. About the project/work tasks The fellow will be part of the existing research community at Statistics and Data science group. The research project for the fellowship
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a vacancy for a PhD position at the Department of Information and Media Studies. The position is for a fixed-term period of 4 years, of which 25% will be dedicated to teaching, supervision and
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important to increase the resolution of tomographic models as this should give better insights into the Earth’s dynamics and history. Improving tomographic models requires innovative data processing and
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for analysis (including wet-sieving sediment samples, picking foraminifera under a microscope, cleaning, and weighing) Scientific data analysis and interpretation, also possibly in collaboration with climate
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experience performing experiments on fish or other animals. strong quantitative and data-handling skills (e.g. using R/python or an equivalent) certification in animal welfare (e.g. FELASA), although training
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. The University Museum has extensive scientific collections and is a national dissemination center. The museum has approximately 155 full-time employees. More information about the museum can be found here
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. Good knowledge of the topic of Cryospheric Processes is a requirement Proficiency in scientific coding and data analysis programming languages, such as Python or MATLAB, is a requirement. Experience with
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Research School ChemSchool – Norwegian Graduate School in Chemistry. For further information about ChemSchool see Kjemi 2025, 85 (6), 19-21 (in Norwegian). Qualifications and personal qualities: Applicants
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policy analysis. The project’s PI is Associate Professor Iselin Åsedotter Strønen. For more information about the project, see In/visible women of the sea. Gendering fishery politics and advocacy (GENMAR
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of the underwater environment and marine installations. The system must be flexible, distributed, robust, energy-efficient, cost-effective, and secure, and be able to handle large volumes of data. Acoustic