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., Python, MATLAB, R, C++, FORTRAN) is required Ability to actively communicate and co-operate within a larger research team is required. Experience with LINUX environments and analysing large datasets from
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the master's degree has been awarded. The candidate must have good knowledge in atmospheric dynamics. Proficiency in scientific coding and data analysis (e.g., Python, MATLAB, R, C++, FORTRAN) is required
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for appointment. Good knowledge of programming and data analysis using Fortran, Matlab, Python, or similar programming languages. Experience in using and developing models to simulate natural systems. Knowledge
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., Python, Matlab, R) is required. Knowledge of climate variability and predictability is an advantage. Experience with Linux clusters, and running Earth System Models, is an advantage. Experience with
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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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or related field. This year’s candidates/candidates who will finish their master’s degree in the summer can also apply. Experience with COMSOL, BATTMO and/or MATLAB or any other simulation software. Knowledge
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in quantitative analysis and computer programming, preferably using R, MATLAB, or Fortran is a requirement. Demonstrated experience working with large field datasets is a requirement Experience with
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completed by 31.12.2025. It is a condition of employment that the PhD has been awarded. Documented experience and confidence in quantitative analysis and computer programming, preferably using R, MATLAB
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language (e.g., Matlab, Python) Fluent oral and written communication skills in English (see below) Additional desired qualifications: Experience with the theoretical description of transport processes
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System (ROMS) experience with modelling of marine sediments programming skills in FORTRAN, MATLAB and/or Python experience with super-computers and with the Linux environment an established publication