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dynamics) processes influencing energetic particle precipitation into the atmosphere statistical methods for handling complex data Experience from data analysis using scientific programming, e.g., Matlab
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. Documented experience with quantitative analysis of physiological, molecular or bioinformatics data. Documented experience with the statistical software R (or equivalent) and reproducible programming and
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. Publishing in international journals Required selection criteria We are looking for a Researcher (Code 1109), hence you must have completed a Norwegian doctoral degree in artificial intelligence, statistics
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precipitation into the atmosphere statistical methods for handling complex data Experience from data analysis using scientific programming, e.g., Matlab or Python, is a requirement. Experience from following is
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to open video) Job description This Ph.D. position is focused on machine learning in realistic settings referring to statistical and system characteristics such as reliability and robustness to limited data
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energetic particle precipitation into the atmosphere statistical methods for handling complex data Experience from data analysis using scientific programming, e.g., Matlab or Python, is a requirement
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, statistics, mathematics, or a related area or in a related field or corresponding foreign doctoral degree recognized as equivalent to a Norwegian doctoral degree. In exceptional cases we can also consider
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settings referring to statistical and system characteristics such as reliability and robustness to limited data and distribution shifts. For the application side, the candidate will collaborate with
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statistical analysis and mathematical modelling tools Excellent knowledge of programming languages such as R, Python, etc. Familiarity with AI algorithms and machine learning Excellent written and oral
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gamma-radiation), mass spectrometry analysis or with X-ray based analytical methods. Experience with programming and data analysis, including applied statistics. You need to have: Strong scientific