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the motivation letter). Programming skills with Matlab, C/C++ or Python. Research experience in inverse problem and/or machine learning and artificial intelligence applied to imaging applications. A good
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and independently. We also appreciate Experience in high-temperature laboratory experiments. Knowledge of statistical analysis and/or machine learning to interpret experimental data sets. Salary
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languages, preferably Python, C++ or C#, or programming environments (e.g., MATLAB). Knowledge of statistical analysis and/or machine learning to interpret large data sets. Knowledge of metallurgical
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of hydrogen-induced embrittlement in high-strength steels. Different modelling (phase field modelling/artificial intelligence and machine learning approach) and experimental techniques could be utilized to get
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embrittlement in high-strength steels. Different modelling (phase field modelling/artificial intelligence and machine learning approach) and experimental techniques could be utilized to get to relate
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generated, part of the work will be to test various statistical data analysis methods and machine learning for efficient data analysis (e.g. regression analysis and image recognition). Based on the OES, image
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or quantum computing, willingness to learn more about the other. Experience in the fields of theoretical computer science, computer engineering and programming skills are beneficial. Qualification requirements