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aerodynamics. Experience in data analysis and interpretation of large datasets. Knowledge and experience from use and development of CFD codes. Risk analysis and risk assessments in the process industry. Good
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. Cantera or CHEMKIN. Background in compressible flows and applied aerodynamics. Experience in data analysis and interpretation of large datasets. Knowledge and experience from use and development of CFD
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for chemical target validation. Moreover, this process will be guided by experimental data on uptake into bacteria to ensure that our compounds reach their targets in the cell, a critical step in chemical target
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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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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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. 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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) 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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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
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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