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learning and/or natural language processing. Strong academic performance in computer science at undergraduate and masters level, with evidence of prior research experience in machine learning and/or natural
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complete-nutrition crops for on-demand bioresource production. We will test their performance in our physical twin environments and feedback to our machine learning modelling to advance plant growth
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, proprietary seismic sensors, cutting edge Ambient Noise Tomography, and machine learning to provide the world’s first scalable 3D exploration dataset with near-real-time insights to guide active exploration
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