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will use and develop Python scripts for analysing results and may participate in the development of codes such as the observation simulator and the improvement of the controller. The proposed thesis will
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learning applied to dynamic systems; Proficiency in key machine learning libraries (PyTorch, JAX, etc.); Mastery of Python and the software ecosystem for scientific data analysis and management (NumPy
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validation on simulated and real data Skills Abstraction capabilities, strong programming skills in C/C++ and Python, collaboration skills. English is needed. REFERENCES [0] C. Bekker, S. Rothmann, M. Kloppers
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-level APIs to access various data sources, sensors, together with procedural data flow constructs to create and maintain complex data curation scripts (e.g., using Python). In smart robotic agriculture