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of four years with 25% compulsory work (primarily teaching). The candidate will be expected to contribute to the Master’s programme Organization, Leadership and Work (OLA) at the Department
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experience with mental health research is an advantage. Proficiency in executing computationally intensive analyses on high-performance computing systems, including job scheduling, parallel processing, and
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-erklæringen var sist oppdatert 26.07.2025 Hva er en cookie? En cookie er en liten datafil som lagres på datamaskinen, nettbrettet eller mobiltelefonen din. En cookie er ikke et program som kan inneholde
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modeling formation dry-out and salt precipitation during CO2 storage. The candidate will work on developing numerical models for salt precipitation at pore- to continuum-scale, with special focus on how
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or numerical methods in the context of environmental research is highly advantageous. Experience with the interpretation of field data is advantageous. Grade requirements: The norm is as follows: the average
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of teaching and administrative duties (up to 25 %), depending on the competence of the successful applicant and the needs of the department. The research fellow must take part in the Department’s PhD program
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-erklæringen var sist oppdatert 26.07.2025 Hva er en cookie? En cookie er en liten datafil som lagres på datamaskinen, nettbrettet eller mobiltelefonen din. En cookie er ikke et program som kan inneholde
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-erklæringen var sist oppdatert 26.07.2025 Hva er en cookie? En cookie er en liten datafil som lagres på datamaskinen, nettbrettet eller mobiltelefonen din. En cookie er ikke et program som kan inneholde
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starting the PhD). The candidate must be qualified for admission to the ph.d. program Strong background in quantitative methods (reflected in courses and/or research experience) Proficiency in R, Python
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Sciences' organised research education programme (PhD programme) and the completion of a doctorate in human geography. The candidate who is hired will automatically be admitted to the PhD programme