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Intelligence/Machine Learning (AI/ML) methods in agriculture (Agro-AI/ML); and Experience in programming with multiple languages (e.g., Java, C/C++, Python) for geospatial information systems, agro-informatic
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programming with multiple languages (e.g., Java, C/C++, Python) for geospatial information systems, agro-informatic applications, agricultural monitoring and modeling, Agro-AI/ML, or digital twin. Instructions
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-domain context. Good knowledge of programming languages (e.g. Python, R, Java, C#, C++) Good knowledge of object orientation and at least basic knowledge of UML Knowledge in the field of machine learning
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methods Good knowledge of object orientation and at least basic knowledge of UML Knowledge of minimum one programming language (e.g. C++, Python, Java) Experience with the Robot Operating System (ROS) Good
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on tropical value chains (cocoa, coffee, tea, palm oil, banana, etc.) and conducting research supporting the private sector with their monitoring, evaluation and learning is a must. You should have excellent