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. It is a condition of employment that 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
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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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about data assimilation and calibration of models based on observational data. Experience in using Github or other platforms for version control and collaboration on code development Fluent oral and
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multiwavelet methods in our code (MRChem), and in particular in connection with recent developments for real-time simulations and correlated methods. This development will then be connected to the computation
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numerical literacy in developing computer code for simulation models and for data analysis and interpretation. About the project/work tasks: The first position is part of the research project Thermos
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requires a thorough understanding of marine ecology, the role of the environment, and the capabilities of marine organisms, but also good numerical literacy in developing computer code for simulation models
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numerical literacy in developing computer code for simulation models and for data analysis and interpretation. About the project/work tasks: The position is part of the starting grant project DRIFT
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techniques for screening plasmid libraries, such as phage display and yeast display is an advantage. Coding abilities in R/Python are an advantage. The candidate will work in a very ambitious interdisciplinary
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public, the technology industry, politicians, and other relevant parties. Publish documentation, code, and datasets according to Open Science guidelines. Contribute to planning project workshops and take
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professionally stimulating working environment salary as PhD research fellow (code 1017) in the state salary scale. This constitutes a gross annual salary of NOK 541800. Further increases in salary are made