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brief account of the applicant's research interests and motivation for applying for the position the names and contact information for two referees. One of these should be the main advisor
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skills in one or more languages (e.g., Python, MATLAB, Fortran, C++) and must demonstrate their proficiency. Strong analytical skills and capabilities in data processing and mathematical modelling is a
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demonstrate their proficiency. Strong analytical skills and capabilities in data processing and mathematical modelling is a requirement. Experience with weather or climate models is an advantage. Knowledge
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. The project will make use of novel and established water tracing diagnostics, including stable water isotopes. There is also a possibility to work with observational data from aircraft field campaigns and
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publication of research or research communication. Use of computer programming as a method of research and inquiry. Applicants will be evaluated according to admission requirements in The Faculty of Humanities
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) high-resolution laboratory experiments of CO2 storage, and (iii) multi-scale image analysis of laboratory data. About the work tasks The appointed candidate will mainly contribute to the first main
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communication. Use of computer programming as a method of research and inquiry. Applicants will be evaluated according to admission requirements in The Faculty of Humanities' PhD Program pt. 2.1 . Applicants must
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contact information for two referees. One of these should be the main advisor from the PhD programme. CV (preferably uploaded as a separate attachment, maximum 4 pages) transcripts and diplomas. If you have
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applicant's research interests and motivation for applying for the position. the names and contact information for two referees. One of these should be the main advisor from the PhD programme. CV (preferably
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cycle processes, dynamics of oxygen and nutrient cycles, is required. Expertise in scientific scripting, programming, and data analysis (e.g., Python, Matlab, R) is required. Knowledge of climate