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planetary science, remote sensing, or lunar/space data analysis. Proficiency in machine learning (supervised/unsupervised learning, neural networks, etc.). Strong skills in data processing (Python, R
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computational innovation to advance archaeological research through AI, HPC, remote sensing, and geospatial analysis. Its mission is to uncover insights into past societies and environments, focusing on urban
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and Technology, Communication Engineering, Control Engineering, Vehicle Engineering, Aviation Engineering, Electrical Engineering, Nuclear Science and Technology, Electronic Information, Remote Sensing
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