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, or similar) will be valued; 9) Experience in machine learning techniques applied to materials science or process engineering (regression, classification, optimization, predictive models) will be valued; 10
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for the development of advanced precision agriculture models. 4. REQUIRED PROFILE: Admission requirements: PhD in Agricultural Sciences, Bioengineering, Bioinformatics/BS, Biotechnology Engineering and related fields
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