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software openly with documentation. Your Profile: A Masters degree with a strong academic background in mathematics, computer science and earth science/engineering, or a related field Proficiency in at least
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surrogates or approximators, such as random forests or shallow neural networks, trained to mimic the outputs of the original computations at a fraction of the cost. This hybridization aims not only
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for Software Systems (MPI-SWS), the Computer Science Department at Saarland University, and the Computer Science Department at RPTU Kaiserslautern-Landau. IMPRS-TRUST cooperates with the Saarbruecken Graduate
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