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qualification, you must hold an MSc degree (or equivalent) within Materials Science, Mechanical Engineering, or related field Experience with corrosion and metallurgy, electrochemical methods, microstructure
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, electrical engineering and computer science is important. It will be relevant to have deep experience with at least one of the following areas: Construction engineering and project management, incl. lean and
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machine learning methods, including symbolic regression and neural networks. You will apply the algorithms to the discovery of new models in different fields, including robotic control, fluid mechanics and
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