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discipline. Programming & Data Skills: Strong proficiency in Python (e.g., NumPy, Pandas, scikit-learn, PyTorch, TensorFlow); additional experience with R, MATLAB, or Julia is an advantage. Machine Learning
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Python for data analysis and AI-driven surveys or data collection methods is advantageous. DESIRABLE QUALIFICATIONS/EXPERIENCE: Experience of successful development and implementation of humanities and
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vision, mobile robotics, machine learning, data science and analytics, or be able to demonstrate an equivalent professional practice and engagement. Previous experience in coding (C/C++, Python, ROS etc
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