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. Accredited training in the following areas (each area is defined in brackets): [GIS management, Geodatabases], [SQL database language, Post-GIS], [Access, R, Python], [Human group dynamics]. 0.05 points will
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scientific programming and numerical computing using languages such as C, Fortran, Python, and MATLAB. (5 points). Accredited training and experience in the use of numerical simulation and the resolution
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for aerospace, defence or industrial power electronics (e.g. MIL-STD-704, DO-160, IEC 60950 or equivalent). Experience with Python or MATLAB scripting for automated test data acquisition, post-processing
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for robotic systems, mechatronic platforms, embedded systems, automation systems or other complex cyber-physical systems. Solid programming skills in C++ and Python, with the ability to write maintainable
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agricultural scenarios to meet the efficiency and performance requirements for actual deployment. Requirements: Proficient in Python/C++ programming, deep learning frameworks such as PyTorch and TensorFlow