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Field
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the activities carried out in Activity 3 dedicated to the implementation of a demonstrative network of Montados and Dehesas. Specifically, in the creation of a common methodology for assessing environmental
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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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to initiate research on the topic of eBPF, planning the design of a framework for network monitoring by collecting performance metrics in a standardized manner with eBPF. Work plan: The work plan is as follows
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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
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13 (5 points); Bachelor Degree classification lower than 13 (2 points); B. Knowledge of Cyber-physical Systems, Automation, CAN Communication Protocol, Machine Learning, AI, Sensor Networks