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. You should have a strong academic background in engineering, applied mathematics, or computer science, combined with a clear interest in scientific programming, machine learning, and data analytics
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, we will investigate how traditional computer-science techniques for verification and falsification as well as machine learning can be tailored to these goals. This way, the project lays the grounds