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for a short-term 2.5-month postdoctoral position (full-time) focused on developing and validating machine learning models that predict soil health and crop performance. The position will exploit datasets
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opportunities. Flexible working arrangements, including the possibility of partial remote work. Responsibilities: Design and implement machine learning and AI models for the early identification and prediction
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dynamic research lab, highly active in international projects, and composed of >20 enthusiastic academics, researchers, students and research managers, with expertise in data science, machine/deep learning
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