101 linked-data-"https:"-"https:"-"https:"-"https:"-"https:" Fellowship positions in Norway
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and using novel diagnostic tools to understand these emulators’ performance from a physical weather-focused perspective. They will answer important open questions including which data sources are most
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. Demonstrated proficiency with scientific programming (e.g. Python) is an advantage. Demonstrated proficiency in geospatial data analysis is an advantage. Applicants must be able to work independently and in a
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for applying for the position. The names and contact information for two reference persons. One of these must be the main advisor from the PhD programme. CV Project proposal (4-5 pages excluding reference list
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with an approved doctoral thesis and public defence are eligible for appointment Fluent oral and written communication skills in English The candidate must have thorough understanding of data analysis
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the project within the set fellowship period. For more information, please see the Faculty of Social Sciences’ web site . Jarli & Jordan/UiO via Unsplash Jarli & Jordan/UiO Selection criteria Qualification
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/these factor(s) in depth in Norway with a qualitative approach (e.g. interviews or classroom observations). The PhD Fellow will be expected to be able to use advanced quantitative methods to analyze ILSA data
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headquarters in Trondheim. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You can find more information about working at NTNU and the application process here
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clear and appropriate to the project’s overall objectives. It is a strength, but not a firm requirement, if the proposed project make use of or build upon existing data and research trajectories from
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. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You can find more information about working at NTNU and the application process here . ... (Video unable to load
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part of the project Ecological Archaeologies of the Afrotropics (EcoArch), funded by the European Research Council (ERC Synergy Grant 101224871). More information about the project can be found here