Università di Trento is seeking a researcher to contribute to the European EcoSentinel project by defining and implementing a Plant Digital Twin for monitoring and diagnosing plant health. The role focuses on developing data-driven models and machine learning algorithms that integrate heterogeneous signals from the EcoSentinel platform.
You will analyze inter-plant communication metrics such as RSSI and energy harvesting data from microbial soil processes to infer health states and soil
📌 Plant Digital Twin Scientist: Data-Driven Health (Roma)
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📍 Roma
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