Plant Digital Twin Scientist: Data-Driven Health
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.
Per una comprensione completa di questa possibilità e dei requisiti per essere un candidato di successo, continui a leggere.
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 xbvzest metrics such as RSSI and energy harvesting data from microbial soil processes to infer health states and soil
Per una comprensione completa di questa possibilità e dei requisiti per essere un candidato di successo, continui a leggere.
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 xbvzest metrics such as RSSI and energy harvesting data from microbial soil processes to infer health states and soil