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The objectives of the position are to support the research team in the MagTecSkin project on the following tasks: Support the activities for electronic interfaces for the magnetic sensor chips. Testing
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classification lower than 13 (2 points); B. Knowledge of Cyber-physical Systems, Automation, CAN Communication Protocol, Machine Learning, AI, Sensor Networks, Hierarchical Decision and Control Systems with main
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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
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. The objective of the activity includes the provision of services related to precision agriculture, involving the use of sensors and drones coupled tomultispectral cameras in fields producing soft wheat (Triticum
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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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in multimodal transportation networks; Integration of the models into a Decision Support System; Application to case studies based on real data. Legislation and regulations: Law Nº. 40/2004, of 18th
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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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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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) 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