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ensuring the security, integrity, and efficiency of all active systems and services. This requires a deep understanding of system architecture and involves the expert configuration of core network services
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the framework of the M-ERA-NET3 network “ERA-NET Cofund in raw materials, under the following conditions: Scientific Area: Mining Engineering Admission requirements: Candidates who cumulatively meet the
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) Knowledge of machine learning techniques, with an interest in exploring algorithms such as regression, decision trees, Random Forests, and neural networks. b) Basic programming experience in Python and
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) Knowledge of machine learning techniques, with an interest in exploring algorithms such as regression, decision trees, Random Forests, and neural networks. b) Basic programming experience in Python and